Papers
22
Total Citations
805
H-Index
14
About
Kapil D. Katyal is a pioneering robotics and neural engineering researcher whose work spans brain-machine interfaces (BMIs), prosthetics, autonomous systems, and human-robot interaction. Best known for his foundational contributions to the DARPA Revolutionizing Prosthetics program, Katyal has helped transform how severely injured individuals interact with advanced robotic limbs. His most celebrated work, the HARMONIE system (190 citations), demonstrated a groundbreaking semi-autonomous hybrid BMI that fused intracranial EEG, eye tracking, and computer vision to control the sophisticated Modular Prosthetic Limb — a landmark achievement in assistive technology. Alongside colleagues, he showed that intracranial EEG signals could simultaneously drive reaching and grasping in real time, bringing neural prosthetics meaningfully closer to clinical reality. Beyond BMIs, Katyal has made notable strides in autonomous robotics, including a biomimetically inspired aerial grasping system (AGRASP) and uncertainty-aware navigation algorithms for robots operating in crowded, dynamic environments. His application of deep reinforcement learning to robotic manipulation further reflects his commitment to adaptable, intelligent systems. With over 670 cumulative citations across disciplines, Katyal exemplifies the rare researcher who bridges neuroscience, computer vision, and robotics to address some of humanity's most pressing challenges in mobility and autonomy.
Research Focus
Key Achievements
Top Papers
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- 5Autonomous Grasping Robotic Aerial System for Perching (AGRASP)57 citations · 2018
- 6Intent-Aware Pedestrian Prediction for Adaptive Crowd Navigation54 citations · 2020
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- 9Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks30 citations · 2017
- 10Revolutionizing Prosthetics software technology27 citations · 2011