Papers
11
Total Citations
95
H-Index
6
About
Sri Harsha Turlapati is a robotics researcher whose work spans kinematic calibration, compliant modular robotics, and haptic-based manipulation. His most cited paper, “Fast Kinematic Re-Calibration for Industrial Robot Arms” (29 citations), addresses the critical challenge of maintaining accurate kinematic models in real-world industrial settings, where manufacturing errors degrade performance. Turlapati has made significant contributions to stair-climbing robots for Urban Search and Rescue (USAR), designing a compliant modular robot capable of ascending and descending stairs with overhangs—a key capability for disaster response. His work on “Towards Haptic-Based Dual-Arm Manipulation” (9 citations) explores integrating haptic feedback to overcome vision-based limitations like occlusions, advancing dexterous manipulation. More recently, he has focused on learning from demonstration for compliant insertion tasks and intrinsic haptic metrics for contact-rich manipulation, as seen in his 2025 paper on book insertion. With over 93 total citations across his publications, Turlapati’s research bridges theoretical modeling and practical robotic applications, from industrial recalibration to autonomous exploration. His achievements include developing a detachable modular robot for cooperative climbing and multi-agent exploration, showcasing his innovative approach to complex robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Fast Kinematic Re-Calibration for Industrial Robot Arms29 citations · 2022
- 2Stair Climbing using a compliant modular robot20 citations · 2015
- 3Towards Haptic-Based Dual-Arm Manipulation9 citations · 2022
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- 9Robots in manufacturing: Programming, control, and safety standards4 citations · 2024
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