Papers
6
Total Citations
59
H-Index
4
About
Sunny Katyara is a roboticist advancing the frontier of dexterous manipulation and human-robot collaboration. His research centers on enabling robots to perform precision grasping and fine manipulation tasks—moving beyond simple pick-and-place to trajectorial, human-like dexterity. Katyara’s key contributions include developing the concept of **kernelized synergies on shared subspaces**, a framework that reduces controller complexity while preserving the adaptability needed for dexterous hands. His work integrates visuo-tactile perception for intuitive task planning, allowing robots to co-manipulate objects safely and autonomously alongside humans. He has also explored the critical **Sim2Real gap** in precision agriculture, highlighting where simulation accuracy remains essential. With over 60 citations across his most-cited works (including a 2023 paper on learning skills from demonstrations), Katyara’s impact is evident in his systematic approach to bridging human-inspired control with real-world robotic autonomy. His notable achievement lies in formulating a **stack-of-tasks** control framework that fuses multi-sensory feedback, enabling adaptive, collaborative behavior—a vital step toward robots that can learn, react, and work seamlessly in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6