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2020 – today
- 2024
[j21]Rhys Newbury
, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun:
A Review of Differentiable Simulators. IEEE Access 12: 97581-97604 (2024)- [j20]Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner:
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. IEEE Robotics Autom. Lett. 9(1): 9-16 (2024) - [j19]Jannik Zürn, Ingmar Posner, Wolfram Burgard:
AutoGraph: Predicting Lane Graphs From Traffic Observations. IEEE Robotics Autom. Lett. 9(1): 73-80 (2024) - [j18]Yizhe Wu, Haitz Sáez de Ocáriz Borde, Jack Collins, Oiwi Parker Jones, Ingmar Posner:
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer. IEEE Robotics Autom. Lett. 9(4): 3291-3298 (2024) - [j17]Marc Rigter, Jun Yamada, Ingmar Posner:
World Models via Policy-Guided Trajectory Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - [c77]Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. ICLR 2024 - [c76]Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner:
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. ICRA 2024: 9190-9196 - [c75]Jun Yamada, Jack Collins, Ingmar Posner:
Efficient skill acquisition for insertion tasks in obstructed environments. L4DC 2024: 615-627 - [i69]Yizhe Wu, Haitz Sáez de Ocáriz Borde, Jack Collins, Oiwi Parker Jones, Ingmar Posner:
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer. CoRR abs/2402.16308 (2024) - [i68]Jun Yamada, Shaohong Zhong, Jack Collins, Ingmar Posner:
D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation. CoRR abs/2403.12861 (2024) - [i67]Anson Lei, Frederik Nolte, Bernhard Schölkopf, Ingmar Posner:
Compete and Compose: Learning Independent Mechanisms for Modular World Models. CoRR abs/2404.15109 (2024) - [i66]Alexander L. Mitchell, Wolfgang Merkt, Aristotelis Papatheodorou, Ioannis Havoutis, Ingmar Posner:
Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion. CoRR abs/2405.19452 (2024) - [i65]Rhys Newbury, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun:
A Review of Differentiable Simulators. CoRR abs/2407.05560 (2024) - 2023
- [j16]Anson Lei, Bernhard Schölkopf, Ingmar Posner:
Variational Causal Dynamics: Discovering Modular World Models from Interventions. Trans. Mach. Learn. Res. 2023 (2023) - [j15]Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner:
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. IEEE Trans. Robotics 39(5): 3805-3820 (2023) - [c74]Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner:
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. ICLR 2023 - [c73]Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner:
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space. ICRA 2023: 5674-5680 - [c72]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. NeurIPS 2023 - [i64]Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner:
DITTO: Offline Imitation Learning with World Models. CoRR abs/2302.03086 (2023) - [i63]Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner:
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space. CoRR abs/2303.03364 (2023) - [i62]Jun Yamada, Jack Collins, Ingmar Posner:
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments. CoRR abs/2303.03365 (2023) - [i61]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ingmar Posner:
Projections of Model Spaces for Latent Graph Inference. CoRR abs/2303.11754 (2023) - [i60]Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner:
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. CoRR abs/2305.09644 (2023) - [i59]Walter Goodwin, Ioannis Havoutis, Ingmar Posner:
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. CoRR abs/2305.12626 (2023) - [i58]Marc Rigter, Minqi Jiang, Ingmar Posner:
Reward-Free Curricula for Training Robust World Models. CoRR abs/2306.09205 (2023) - [i57]Jannik Zürn, Ingmar Posner, Wolfram Burgard:
AutoGraph: Predicting Lane Graphs from Traffic Observations. CoRR abs/2306.15410 (2023) - [i56]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. CoRR abs/2309.04810 (2023) - [i55]Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong:
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces. CoRR abs/2309.05678 (2023) - [i54]Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner:
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. CoRR abs/2311.03622 (2023) - [i53]Marc Rigter, Jun Yamada, Ingmar Posner:
World Models via Policy-Guided Trajectory Diffusion. CoRR abs/2312.08533 (2023) - 2022
- [j14]Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner:
Universal Approximation of Functions on Sets. J. Mach. Learn. Res. 23: 151:1-151:56 (2022) - [j13]Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner:
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. IEEE Robotics Autom. Lett. 7(2): 5334-5341 (2022) - [c71]Walter Goodwin, Ioannis Havoutis, Ingmar Posner:
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. CoRL 2022: 1435-1445 - [c70]Shaohong Zhong, Alessandro Albini, Oiwi Parker Jones, Perla Maiolino, Ingmar Posner:
Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation. CoRL 2022: 1618-1628 - [c69]Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner:
Zero-Shot Category-Level Object Pose Estimation. ECCV (39) 2022: 516-532 - [c68]Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner:
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. ICRA 2022: 2186-2192 - [c67]Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner:
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. ICRA 2022: 10564-10570 - [c66]Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner:
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. ICRA 2022: 11138-11144 - [i52]Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner:
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. CoRR abs/2201.08115 (2022) - [i51]Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner:
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. CoRR abs/2203.00459 (2022) - [i50]Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner:
Zero-Shot Category-Level Object Pose Estimation. CoRR abs/2204.03635 (2022) - [i49]Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner:
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. CoRR abs/2205.01179 (2022) - [i48]Yizhe Wu, Oiwi Parker Jones, Ingmar Posner:
ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D. CoRR abs/2206.03591 (2022) - [i47]Anson Lei, Bernhard Schölkopf, Ingmar Posner:
Variational Causal Dynamics: Discovering Modular World Models from Interventions. CoRR abs/2206.11131 (2022) - [i46]Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner:
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. CoRR abs/2210.11779 (2022) - 2021
- [c65]Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner:
Iterative SE(3)-Transformers. GSI 2021: 585-595 - [c64]Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner:
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. ICRA 2021: 1319-1325 - [c63]Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner:
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery. ICRA 2021: 6293-6299 - [c62]Rob Weston, Oiwi Parker Jones, Ingmar Posner:
There and Back Again: Learning to Simulate Radar Data for Real-World Applications. ICRA 2021: 12809-12816 - [c61]Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner:
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. IROS 2021: 3375-3382 - [c60]Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling:
E(n) Equivariant Normalizing Flows. NeurIPS 2021: 4181-4192 - [c59]Martin Engelcke, Oiwi Parker Jones, Ingmar Posner:
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. NeurIPS 2021: 8085-8094 - [i45]Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner:
Iterative SE(3)-Transformers. CoRR abs/2102.13419 (2021) - [i44]Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner:
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery. CoRR abs/2103.11881 (2021) - [i43]Martin Engelcke, Oiwi Parker Jones, Ingmar Posner:
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. CoRR abs/2104.09958 (2021) - [i42]Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling:
E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. CoRR abs/2105.09016 (2021) - [i41]Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner:
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. CoRR abs/2105.14895 (2021) - [i40]Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner:
Universal Approximation of Functions on Sets. CoRR abs/2107.01959 (2021) - [i39]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - [i38]Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner:
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. CoRR abs/2111.07975 (2021) - [i37]Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner:
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. CoRR abs/2112.04809 (2021) - 2020
- [c58]Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner:
Attention-Privileged Reinforcement Learning. CoRL 2020: 394-408 - [c57]Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner:
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. ICLR 2020 - [c56]Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett:
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. ICRA 2020: 4386-4392 - [c55]Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner:
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. ICRA 2020: 6433-6438 - [c54]Dan Barnes, Ingmar Posner:
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. ICRA 2020: 9484-9490 - [c53]Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Siddhant Gangapurwala, Oliwier Melon, Ioannis Havoutis, Ingmar Posner:
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. IROS 2020: 5343-5350 - [c52]Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi:
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. NeurIPS 2020 - [i36]Dan Barnes, Ingmar Posner:
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. CoRR abs/2001.10789 (2020) - [i35]Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett:
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. CoRR abs/2003.01875 (2020) - [i34]Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner:
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. CoRR abs/2003.08854 (2020) - [i33]Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi:
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. CoRR abs/2007.01272 (2020) - [i32]Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Ioannis Havoutis, Ingmar Posner:
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. CoRR abs/2007.01520 (2020) - [i31]Martin Engelcke, Oiwi Parker Jones, Ingmar Posner:
Reconstruction Bottlenecks in Object-Centric Generative Models. CoRR abs/2007.06245 (2020) - [i30]Rob Weston, Oiwi Parker Jones, Ingmar Posner:
There and Back Again: Learning to Simulate Radar Data for Real-World Applications. CoRR abs/2011.14389 (2020)
2010 – 2019
- 2019
- [c51]Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner:
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. BMVC 2019: 73 - [c50]Dan Barnes, Rob Weston, Ingmar Posner:
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. CoRL 2019: 303-316 - [c49]Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne:
On the Limitations of Representing Functions on Sets. ICML 2019: 6487-6494 - [c48]Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner:
Probably Unknown: Deep Inverse Sensor Modelling Radar. ICRA 2019: 5446-5452 - [i29]Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne:
On the Limitations of Representing Functions on Sets. CoRR abs/1901.09006 (2019) - [i28]Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner:
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. CoRR abs/1907.12887 (2019) - [i27]Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner:
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. CoRR abs/1907.13052 (2019) - [i26]Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner:
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR abs/1909.01300 (2019) - [i25]Dan Barnes, Rob Weston, Ingmar Posner:
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. CoRR abs/1909.03752 (2019) - [i24]Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner:
Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks. CoRR abs/1909.13561 (2019) - [i23]Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner:
Attention Privileged Reinforcement Learning For Domain Transfer. CoRR abs/1911.08363 (2019) - 2018
- [j12]Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner:
Deep tracking in the wild: End-to-end tracking using recurrent neural networks. Int. J. Robotics Res. 37(4-5): 492-512 (2018) - [j11]Corina Gurau, Dushyant Rao, Chi Hay Tong, Ingmar Posner:
Learn from experience: Probabilistic prediction of perception performance to avoid failure. Int. J. Robotics Res. 37(9): 981-995 (2018) - [j10]Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska:
Resource-Performance Tradeoff Analysis for Mobile Robots. IEEE Robotics Autom. Lett. 3(3): 1840-1847 (2018) - [c47]Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi:
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. ECCV (1) 2018: 724-739 - [c46]Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner:
TACO: Learning Task Decomposition via Temporal Alignment for Control. ICML 2018: 4661-4670 - [c45]Markus Wulfmeier, Alex Bewley, Ingmar Posner:
Incremental Adversarial Domain Adaptation for Continually Changing Environments. ICRA 2018: 1-9 - [c44]Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner:
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. ICRA 2018: 1894-1900 - [c43]Letizia Marchegiani, Ingmar Posner:
Long-Term Driving Behaviour Modelling for Driver Identification. ITSC 2018: 913-919 - [c42]Adam R. Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner:
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. NeurIPS 2018: 8615-8625 - [i22]Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner:
TACO: Learning Task Decomposition via Temporal Alignment for Control. CoRR abs/1803.01840 (2018) - [i21]Oliver Groth, Fabian Fuchs, Ingmar Posner, Andrea Vedaldi:
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. CoRR abs/1804.08018 (2018) - [i20]Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh:
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. CoRR abs/1806.01794 (2018) - [i19]Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner:
Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. CoRR abs/1806.05502 (2018) - [i18]Corina Gurau, Alex Bewley, Ingmar Posner:
Dropout Distillation for Efficiently Estimating Model Confidence. CoRR abs/1809.10562 (2018) - [i17]Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner:
Probably Unknown: Deep Inverse Sensor Modelling In Radar. CoRR abs/1810.08151 (2018) - 2017
- [j9]Markus Wulfmeier, Dushyant Rao, Dominic Zeng Wang, Peter Ondruska, Ingmar Posner:
Large-scale cost function learning for path planning using deep inverse reinforcement learning. Int. J. Robotics Res. 36(10): 1073-1087 (2017) - [c41]Markus Wulfmeier, Ingmar Posner, Pieter Abbeel:
Mutual Alignment Transfer Learning. CoRL 2017: 281-290 - [c40]Dan Barnes, Will Maddern, Ingmar Posner:
Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy. ICRA 2017: 203-210 - [c39]Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner:
Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks. ICRA 2017: 1355-1361 - [c38]Letizia Marchegiani, Ingmar Posner:
Leveraging the urban soundscape: Auditory perception for smart vehicles. ICRA 2017: 6547-6554 - [c37]Markus Wulfmeier, Alex Bewley, Ingmar Posner:
Addressing appearance change in outdoor robotics with adversarial domain adaptation. IROS 2017: 1551-1558 - [c36]Jeffrey Hawke, Alex Bewley, Ingmar Posner:
What makes a place? Building bespoke place dependent object detectors for robotics. IROS 2017: 5100-5107 - [c35]Adam R. Kosiorek, Alex Bewley, Ingmar Posner:
Hierarchical Attentive Recurrent Tracking. NIPS 2017: 3053-3061 - [i16]Markus Wulfmeier, Alex Bewley, Ingmar Posner:
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation. CoRR abs/1703.01461 (2017) - [i15]Adam R. Kosiorek, Alex Bewley, Ingmar Posner:
Hierarchical Attentive Recurrent Tracking. CoRR abs/1706.09262 (2017) - [i14]Markus Wulfmeier, Ingmar Posner, Pieter Abbeel:
Mutual Alignment Transfer Learning. CoRR abs/1707.07907 (2017) - [i13]Jeffrey Hawke, Alex Bewley, Ingmar Posner:
What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics. CoRR abs/1708.02330 (2017) - [i12]Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner:
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. CoRR abs/1711.06623 (2017) - [i11]Markus Wulfmeier, Alex Bewley, Ingmar Posner:
Incremental Adversarial Domain Adaptation. CoRR abs/1712.07436 (2017) - 2016
- [j8]Hugo Grimmett, Rudolph Triebel, Rohan Paul, Ingmar Posner:
Introspective classification for robot perception. Int. J. Robotics Res. 35(7): 743-762 (2016) - [c34]Peter Ondruska, Ingmar Posner:
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. AAAI 2016: 3361-3368 - [c33]Julie Dequaire, Chi Hay Tong, Winston Churchill, Ingmar Posner:
Off the beaten track: Predicting localisation performance in visual teach and repeat. ICRA 2016: 795-800 - [c32]Terry Scott, Akshay A. Morye, Pedro Pinies, Lina María Paz, Ingmar Posner, Paul Newman:
Choosing a time and place for calibration of lidar-camera systems. ICRA 2016: 4349-4356 - [c31]Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner:
Watch this: Scalable cost-function learning for path planning in urban environments. IROS 2016: 2089-2095 - [c30]Oliver Bartlett, Corina Gurau, Letizia Marchegiani, Ingmar Posner:
Enabling intelligent energy management for robots using publicly available maps. IROS 2016: 2224-2229 - [c29]Corina Gurau, Chi Hay Tong, Ingmar Posner:
Fit for Purpose? Predicting Perception Performance Based on Past Experience. ISER 2016: 454-464 - [c28]Ulrich Schwesinger, Mathias Bürki, Julian Timpner, Stephan Rottmann, Lars C. Wolf, Lina María Paz, Hugo Grimmett, Ingmar Posner, Paul Newman, Christian Häne, Lionel Heng, Gim Hee Lee, Torsten Sattler, Marc Pollefeys, Marco Allodi, Francesco Valenti, Keiji Mimura, Bernd Goebelsmann, Wojciech Derendarz, Peter Mühlfellner, Stefan Wonneberger, Rene Waldmann, Sebastian Grysczyk, Carsten Last, Stefan Bruning, Sven Horstmann, Marc Bartholomaus, Clemens Brummer, Martin Stellmacher, Fabian Pucks, Marcel Nicklas, Roland Siegwart:
Automated valet parking and charging for e-mobility. Intelligent Vehicles Symposium 2016: 157-164 - [i10]Peter Ondruska, Ingmar Posner:
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. CoRR abs/1602.00991 (2016) - [i9]Peter Ondruska, Julie Dequaire, Dominic Zeng Wang, Ingmar Posner:
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks. CoRR abs/1604.05091 (2016) - [i8]Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner:
Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments. CoRR abs/1607.02329 (2016) - [i7]María Svorenová, Morteza Lahijanian, Akshay A. Morye, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska:
Resource-Performance Trade-off Analysis for Mobile Robots. CoRR abs/1609.04888 (2016) - [i6]Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner:
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks. CoRR abs/1609.06666 (2016) - [i5]Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Zeng Wang, Ingmar Posner:
Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks. CoRR abs/1609.09365 (2016) - [i4]Dan Barnes, William P. Maddern, Ingmar Posner:
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy. CoRR abs/1610.01238 (2016) - [i3]Markus Wulfmeier, Dushyant Rao, Ingmar Posner:
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning. CoRR abs/1612.04318 (2016) - 2015
- [j7]Dominic Zeng Wang, Ingmar Posner, Paul Newman:
Model-free detection and tracking of dynamic objects with 2D lidar. Int. J. Robotics Res. 34(7): 1039-1063 (2015) - [j6]Bonolo Mathibela, Paul Newman, Ingmar Posner:
Reading the Road: Road Marking Classification and Interpretation. IEEE Trans. Intell. Transp. Syst. 16(4): 2072-2081 (2015) - [c27]Jeffrey Hawke, Corina Gurau, Chi Hay Tong, Ingmar Posner:
Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception. FSR 2015: 173-186 - [c26]Hugo Grimmett, Mathias Bürki, Lina María Paz, Pedro Pinies, Paul Timothy Furgale, Ingmar Posner, Paul Newman:
Integrating metric and semantic maps for vision-only automated parking. ICRA 2015: 2159-2166 - [c25]Laszlo-Peter Berczi, Ingmar Posner, Timothy D. Barfoot:
Learning to assess terrain from human demonstration using an introspective Gaussian-process classifier. ICRA 2015: 3178-3185 - [c24]Winston Churchill, Chi Hay Tong, Corina Gurau, Ingmar Posner, Paul Newman:
Know your limits: Embedding localiser performance models in teach and repeat maps. ICRA 2015: 4238-4244 - [c23]Peter Ondruska, Corina Gurau, Letizia Marchegiani, Chi Hay Tong, Ingmar Posner:
Scheduled perception for energy-efficient path following. ICRA 2015: 4799-4806 - [c22]Peter Nelson, Winston Churchill, Ingmar Posner, Paul Newman:
From dusk till dawn: Localisation at night using artificial light sources. ICRA 2015: 5245-5252 - [c21]Terry Scott, Akshay A. Morye, Pedro Pinies, Lina María Paz, Ingmar Posner, Paul Newman:
Exploiting known unknowns: Scene induced cross-calibration of lidar-stereo systems. IROS 2015: 3647-3653 - [c20]Dan Barnes, William P. Maddern, Ingmar Posner:
Exploiting 3D semantic scene priors for online traffic light interpretation. Intelligent Vehicles Symposium 2015: 573-578 - [c19]Dominic Zeng Wang, Ingmar Posner:
Voting for Voting in Online Point Cloud Object Detection. Robotics: Science and Systems 2015 - [i2]Markus Wulfmeier, Peter Ondruska, Ingmar Posner:
Deep Inverse Reinforcement Learning. CoRR abs/1507.04888 (2015) - 2014
- [c18]Peter Ondruska, Ingmar Posner:
The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range. ICAPS 2014 - [c17]Peter Ondruska, Ingmar Posner:
Probabilistic attainability maps: Efficiently predicting driver-specific electric vehicle range. Intelligent Vehicles Symposium 2014: 1169-1174 - [i1]Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy:
Modelling Observation Correlations for Active Exploration and Robust Object Detection. CoRR abs/1401.4612 (2014) - 2013
- [c16]Hugo Grimmett, Rohan Paul, Rudolph Triebel, Ingmar Posner:
Knowing when we don't know: Introspective classification for mission-critical decision making. ICRA 2013: 4531-4538 - [c15]Bonolo Mathibela, Ingmar Posner, Paul Newman:
A roadwork scene signature based on the opponent colour model. IROS 2013: 4394-4400 - [c14]Rudolph Triebel, Hugo Grimmett, Rohan Paul, Ingmar Posner:
Driven Learning for Driving: How Introspection Improves Semantic Mapping. ISRR 2013: 449-465 - [c13]Dominic Zeng Wang, Ingmar Posner, Paul Newman:
A New Approach to Model-Free Tracking with 2D Lidar. ISRR 2013: 557-573 - [c12]Paul Timothy Furgale, Ulrich Schwesinger, Martin Rufli, Wojciech Derendarz, Hugo Grimmett, Peter Mühlfellner, Stefan Wonneberger, Julian Timpner, Stephan Rottmann, Bo Li, Bastian Schmidt, Thien-Nghia Nguyen, Elena Cardarelli, Stefano Cattani, Stefan Bruning, Sven Horstmann, Martin Stellmacher, Holger Mielenz, Kevin Köser, Markus Beermann, Christian Hane, Lionel Heng, Gim Hee Lee, Friedrich Fraundorfer, René Iser, Rudolph Triebel, Ingmar Posner, Paul Newman, Lars C. Wolf, Marc Pollefeys, Stefan Brosig, Jan Effertz, Cédric Pradalier, Roland Siegwart:
Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project. Intelligent Vehicles Symposium 2013: 809-816 - 2012
- [j5]Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy:
Modelling Observation Correlations for Active Exploration and Robust Object Detection. J. Artif. Intell. Res. 44: 423-453 (2012) - [c11]Dominic Zeng Wang, Ingmar Posner, Paul Newman:
What could move? Finding cars, pedestrians and bicyclists in 3D laser data. ICRA 2012: 4038-4044 - [c10]Bonolo Mathibela, Michael A. Osborne, Ingmar Posner, Paul Newman:
Can priors be trusted? Learning to anticipate roadworks. ITSC 2012: 927-932 - 2011
- [j4]Mike Smith, Ingmar Posner, Paul M. Newman:
Adaptive compression for 3D laser data. Int. J. Robotics Res. 30(7): 914-935 (2011) - [c9]Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy:
Planning to Perceive: Exploiting Mobility for Robust Object Detection. ICAPS 2011 - [c8]Mike Smith, Ingmar Posner, Paul M. Newman:
Adaptive Data Compression for Robot Perception. IJCAI 2011: 2746-2751 - [c7]Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy:
Active Exploration for Robust Object Detection. IJCAI 2011: 2752-2757 - 2010
- [c6]Ingmar Posner, Peter Corke, Paul M. Newman:
Using text-spotting to query the world. IROS 2010: 3181-3186 - [c5]Mike Smith, Ingmar Posner, Paul Newman:
Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data. Robotics: Science and Systems 2010
2000 – 2009
- 2009
- [j3]Ingmar Posner, Mark Cummins, Paul M. Newman:
A generative framework for fast urban labeling using spatial and temporal context. Auton. Robots 26(2-3): 153-170 (2009) - [j2]Paul Newman, Gabe Sibley, Mike Smith, Mark Cummins, Alastair Harrison, Christopher Mei, Ingmar Posner, Robbie Shade, Derik Schröter, Liz Murphy, Winston Churchill, Dave Cole, Ian D. Reid:
Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers. Int. J. Robotics Res. 28(11-12): 1406-1433 (2009) - 2008
- [j1]Ingmar Posner, Derik Schröter, Paul M. Newman:
Online generation of scene descriptions in urban environments. Robotics Auton. Syst. 56(11): 901-914 (2008) - [c4]Ingmar Posner, Mark Cummins, Paul Newman:
Fast Probabilistic Labeling of City Maps. Robotics: Science and Systems 2008 - 2007
- [c3]Ingmar Posner, Derik Schröter, Paul M. Newman:
Describing Composite Urban Workspaces. ICRA 2007: 4962-4968 - [c2]Paul Newman, Manjari Chandran-Ramesh, Dave Cole, Mark Cummins, Alastair Harrison, Ingmar Posner, Derik Schröter:
Describing, Navigating and Recognising Urban Spaces - Building an End-to-End SLAM System. ISRR 2007: 237-253 - 2006
- [c1]Ingmar Posner, Derik Schröter, Paul M. Newman:
Using Scene Similarity for Place Labelling. ISER 2006: 85-98
Coauthor Index
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