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Current state\u2010of\u2010the\u2010art gripping solutions fall short when they need to accommodate items with high variability in physical form. This challenging scenario for automation can be found in a few industries (i.e., e\u2010commerce). Automation of pick\u2010and\u2010place processes in this area requires a more versatile gripping solution. To resolve this challenge, this article proposes a novel way to improve grip\u2010versatility by synergizing the mechanical and machine intelligence of a hybrid robotic gripper (HRG). Comparative analysis with commercial grippers shows that HRG can pick a more diverse range of items with success rate 94.78%. Visual perception\u2010based picking strategy is developed to automate the reconfiguration of HRG into a stable grasp pose for different objects. Using the proposed reconfigurable picking strategy, the efficacy of HRG in pick\u2010and\u2010place tasks is evaluated using three parameters\u2014mean pick per hour (MPPH), successful execution over total attempts (SETA), and average cycle time (AVGCT). HRG can effectively pick items in cluttered workspace with MPPH of 98.54\u2009\u00b1\u200915.49, SETA of 0.93\u2009\u00b1\u20090.11, and AVGCT of 34.76\u2009\u00b1\u20093.31\u2009s.<\/jats:p>","DOI":"10.1002\/aisy.202300533","type":"journal-article","created":{"date-parts":[[2024,2,17]],"date-time":"2024-02-17T11:33:49Z","timestamp":1708169629000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hyper\u2010Versatile Gripping: Synergizing Mechanical and Machine Intelligence of a Hybrid Robotic Gripper"],"prefix":"10.1002","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6121-7890","authenticated-orcid":false,"given":"Phone May","family":"Khin","sequence":"first","affiliation":[{"name":"Evolution Innovation Lab National University of Singapore Singapore 119276 Singapore"},{"name":"Department of Mechanical Engineering National University of Singapore Singapore 117575 Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6210-4548","authenticated-orcid":false,"given":"Chen\u2010Hua","family":"Yeow","sequence":"additional","affiliation":[{"name":"Evolution Innovation Lab National University of Singapore Singapore 119276 Singapore"},{"name":"Department of Biomedical Engineering National University of Singapore Singapore 117583 Singapore"}]},{"given":"Marcelo H. 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