Karan Khokar
Papers
7
Total Citations
101
H-Index
6
About
Karan Khokar’s research lies at the intersection of assistive robotics, brain-computer interfaces (BCI), and telerobotic control, with a focus on restoring independence to individuals with physical disabilities. His most cited work, “A vision based P300 Brain Computer Interface for grasping using a wheelchair-mounted robotic arm” (2013, 26 citations), pioneered a novel system that allows users to select and grasp objects using only brain signals, dramatically reducing the cognitive load of BCI-driven tasks. Khokar also made significant contributions to humanoid robotics, implementing the KDL inverse kinematics routine on the Atlas humanoid robot (2015, 23 citations), demonstrating robust, real-time motion planning for complex platforms. In a series of highly cited papers (2010–2014), he developed a laser-assisted telerobotic control framework that enables users with limited upper-body strength to perform Activities of Daily Living (ADL) by simply pointing a laser at a target, blending autonomous grasping with human intention recognition. His work on scaled telerobotic control and real-time shared autonomy has been recognized for both assistive and defense applications, earning him over 100 total citations. Khokar’s research is notable for its practical, user-centered approach, directly translating complex robotic algorithms into tools that enhance human capability.
Research Focus
Key Achievements
Top Papers
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- 2Implementation of KDL Inverse Kinematics Routine on the Atlas Humanoid Robot23 citations · 2015
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