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ORCIDPhani-Teja Singamaneni
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- affiliation (PhD 2022): Paul Sabatier University, LAAS-CNRS, Toulouse, France
- affiliation: International Institute of Information Technology Hyderabad (IIIT Hyderabad), Robotics Research Center, India
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2020 – today
- 2024
[j1]Phani-Teja Singamaneni
, Pilar Bachiller-Burgos, Luis J. Manso, Anaís Garrell, Alberto Sanfeliu, Anne Spalanzani, Rachid Alami:
A survey on socially aware robot navigation: Taxonomy and future challenges. Int. J. Robotics Res. 43(10): 1533-1572 (2024)- 2023
- [c16]Amandine Mayima, Guillaume Sarthou, Guilhem Buisan, Phani-Teja Singamaneni, Yoan Sallami, Jules Waldhart, Kathleen Belhassein, Aurélie Clodic, Rachid Alami:
How to Make a Robot Guide? ISER 2023: 483-494 - [c15]Phani-Teja Singamaneni, Anthony Favier, Rachid Alami:
Towards Benchmarking Human-Aware Social Robot Navigation: A New Perspective and Metrics. RO-MAN 2023: 914-921 - [i9]Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR abs/2306.16740 (2023) - [i8]Phani-Teja Singamaneni, Pilar Bachiller-Burgos, Luis J. Manso, Anaís Garrell, Alberto Sanfeliu, Anne Spalanzani, Rachid Alami:
A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges. CoRR abs/2311.06922 (2023) - 2022
- [b1]Phani-Teja Singamaneni:
Combining proactive planning and situation analysis for human-aware robot navigation. (Combinaison de la planification proactive et de l'analyse de situation pour la navigation robotique adaptée à l'homme). Paul Sabatier University, Toulouse, France, 2022 - [c14]Anthony Favier, Phani-Teja Singamaneni, Rachid Alami:
An Intelligent Human Avatar to Debug and Challenge Human-aware Robot Navigation Systems. HRI 2022: 760-764 - [c13]Christopher K. Fourie, Nadia Figueroa, Julie Shah, Marta Bienkiewicz, Benoît G. Bardy, Etienne Burdet, Phani-Teja Singamaneni, Rachid Alami, Arianna Curioni, Günther Knoblich, Wafa Johal, Dagmar Sternad, Malte F. Jung:
Joint Action, Adaptation, and Entrainment in Human-Robot Interaction. HRI 2022: 1250-1253 - [c12]Jérôme Truc, Phani-Teja Singamaneni, Daniel Sidobre, Serena Ivaldi, Rachid Alami:
KHAOS: a Kinematic Human Aware Optimization-based System for Reactive Planning of Flying-Coworker. ICRA 2022: 4764-4770 - [c11]Phani-Teja Singamaneni, Anthony Favier, Rachid Alami:
Watch out! There may be a Human. Addressing Invisible Humans in Social Navigation. IROS 2022: 11344-11351 - [c10]Olivier Hauterville, Camino Fernández, Phani-Teja Singamaneni, Anthony Favier, Vicente Matellán, Rachid Alami:
Interactive Social Agents Simulation Tool for Designing Choreographies for Human-Robot-Interaction Research. ROBOT (2) 2022: 514-527 - [c9]Phani-Teja Singamaneni, Alessandro Umbrico, Andrea Orlandini, Rachid Alami:
Towards Enhancing Social Navigation through Contextual and Human-related Knowledge. ALTRUIST@ICSR 2022: 1-10 - [i7]Phani-Teja Singamaneni, Anthony Favier, Rachid Alami:
Watch out! There may be a Human. Addressing Invisible Humans in Social Navigation. CoRR abs/2211.12216 (2022) - 2021
- [c8]Phani-Teja Singamaneni, Anthony Favier, Rachid Alami:
Human-Aware Navigation Planner for Diverse Human-Robot Interaction Contexts. IROS 2021: 5817-5824 - [i6]Phani-Teja Singamaneni, Anthony Favier, Rachid Alami:
Human-Aware Navigation Planner for Diverse Human-Robot Contexts. CoRR abs/2106.09971 (2021) - 2020
- [c7]Phani-Teja Singamaneni, Amandine Mayima, Guillaume Sarthou, Yoan Sallami, Guilhem Buisan, Kathleen Belhassein, Jules Waldhart, Aurélie Clodic:
Guiding Task through Route Description in the MuMMER Project. HRI (Companion) 2020: 643 - [c6]Phani-Teja Singamaneni, Rachid Alami:
HATEB-2: Reactive Planning and Decision making in Human-Robot Co-navigation. RO-MAN 2020: 179-186
2010 – 2019
- 2019
- [c5]Raghu Ram Theerthala, A. V. S. Sai Bhargav Kumar, Mithun Babu, S. Phaniteja, K. Madhava Krishna:
Motion Planning Framework for Autonomous Vehicles: A Time Scaled Collision Cone Interleaved Model Predictive Control Approach. IV 2019: 1075-1080 - [i5]Mary Ellen Foster, Bart G. W. Craenen, Amol A. Deshmukh, Oliver Lemon, Emanuele Bastianelli, Christian Dondrup, Ioannis Papaioannou, Andrea Vanzo, Jean-Marc Odobez, Olivier Canévet, Yuanzhouhan Cao, Weipeng He, Ángel Martínez-González, Petr Motlícek, Rémy Siegfried, Rachid Alami, Kathleen Belhassein, Guilhem Buisan, Aurélie Clodic, Amandine Mayima, Yoan Sallami, Guillaume Sarthou, Phani-Teja Singamaneni, Jules Waldhart, Alexandre Mazel, Maxime Caniot, Marketta Niemelä, Päivi Heikkilä, Hanna Lammi, Antti Tammela:
MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces. CoRR abs/1909.06749 (2019) - 2018
- [c4]S. Phani Teja, Parijat Dewangan, Pooja Guhan, K. Madhava Krishna, Abhishek Sarkar:
Learning Dual Arm Coordinated Reachability Tasks in a Humanoid Robot with Articulated Torso. Humanoids 2018: 1-9 - [i4]S. Phani Teja, Parijat Dewangan, Pooja Guhan, Abhishek Sarkar, K. Madhava Krishna:
A Deep Reinforcement Learning Approach for Dynamically Stable Inverse Kinematics of Humanoid Robots. CoRR abs/1801.10425 (2018) - [i3]Parijat Dewangan, S. Phani Teja, K. Madhava Krishna, Abhishek Sarkar, Balaraman Ravindran:
DiGrad: Multi-Task Reinforcement Learning with Shared Actions. CoRR abs/1802.10463 (2018) - [i2]S. Phani Teja, Parijat Dewangan, Pooja Guhan, K. Madhava Krishna, Abhishek Sarkar:
Learning Coordinated Tasks using Reinforcement Learning in Humanoids. CoRR abs/1805.03584 (2018) - [i1]Meha Kaushik, S. Phaniteja, K. Madhava Krishna:
Parameter Sharing Reinforcement Learning Architecture for Multi Agent Driving Behaviors. CoRR abs/1811.07214 (2018) - 2017
- [c3]S. Phani Teja, Parijat Dewangan, Pooja Guhan, Abhishek Sarkar, K. Madhava Krishna:
A deep reinforcement learning approach for dynamically stable inverse kinematics of humanoid robots. ROBIO 2017: 1818-1823 - 2015
- [c2]S. Phani Teja, Sri Harsha Turlapati, Avinash Siravuru, Suril Vijaykumar Shah, K. Madhava Krishna:
An improved compliant joint design of a modular robot for descending big obstacles. AIR 2015: 68:1-68:6 - [c1]Sri Harsha Turlapati, Mihir Shah, S. Phani Teja, Avinash Siravuru, Suril Vijaykumar Shah, K. Madhava Krishna:
Stair Climbing using a compliant modular robot. IROS 2015: 3332-3339
Coauthor Index
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