Patrick Jarvis
Papers
5
Total Citations
38
H-Index
4
About
Patrick Jarvis is a robotics researcher whose work sits at the intersection of dexterous manipulation, human-robot interaction, and autonomous robotic systems. His research focuses on advancing the capabilities of robotic grippers and hands, developing frameworks for intuitive skill transfer from humans to robots, and creating platforms that enable robots to operate effectively in unstructured, real-world environments such as households and healthcare settings. Jarvis's most-cited contribution, "Modular, Accessible, Sensorized Objects for Evaluating the Grasping and Manipulation Capabilities of Grippers and Hands" (2020, 16 citations), introduced a novel benchmarking approach for assessing robotic end-effectors — a critical challenge given the rapid proliferation of dexterous robotic hands. His development of the ARoA platform (2021, 9 citations) demonstrated his systems-level thinking, integrating reconfigurable torso design with dexterous manipulation for autonomous robotic assistance. More recently, Jarvis has turned his attention to data collection methodologies, designing lightweight wearable human-machine interfaces and automated annotation pipelines for kitchen manipulation tasks, addressing the growing demand for high-quality training data in household robotics. Collectively accumulating nearly 40 citations across five papers, his body of work reflects a coherent and practically motivated research agenda pushing robotic manipulation closer to real-world deployment.
Research Focus
Key Achievements
Top Papers
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