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

6
H-Index
14
Papers
77
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based kinematic analysis of the Delta robot for object catching
12 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Thapar Institute of Engineering & Technology, Indian Institute of Technology Delhi, Indian Institute of Information Technology Allahabad

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago