Papers
14
Total Citations
77
H-Index
6
About
Sachin Kansal’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on dexterous manipulation and teleoperation systems. His major contributions include the development of vision-based kinematic analysis for Delta robots, enabling real-time object catching through precise parameter identification and novel multi-fingered parallel architectures. Kansal’s work on upper limb exoskeletons for tele-operating industrial robots, such as the KUKA KR5, integrates gravity balancing and haptic feedback to enhance remote manipulation in immersive environments. His most cited paper, “Vision-based kinematic analysis of the Delta robot for object catching” (2021, 12 citations), demonstrates his impact in advancing robotic dexterity, while “Exoskeleton for Tele-Operation of Industrial Robot” (2013, 12 citations) highlights his early contributions to teleoperation. More recently, his deep learning-based activity recognition system (DL-DARE, 2023, 8 citations) extends his work into human-robot interaction. Kansal’s research has practical applications in industrial automation, surveillance, and wildlife monitoring, showcasing a versatile approach to solving complex manipulation and control challenges.
Research Focus
Key Achievements
Top Papers
- 1Vision-based kinematic analysis of the Delta robot for object catching12 citations · 2021
- 2Exoskeleton for Tele-Operation of Industrial Robot12 citations · 2013
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- 7Tracking of a target person using face recognition by surveillance robot4 citations · 2012
- 8Vision Based Manipulation of a Regular Shaped Object4 citations · 2016
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