Jadav Chandra Das
Papers
8
Total Citations
87
H-Index
5
About
Jadav Chandra Das is a leading researcher in the field of robotic manipulation, with a primary focus on the control of deformable objects and autonomous robotic systems. His most significant contributions lie in developing novel approaches for shape control and internal target manipulation of deformable objects using multiple manipulators, a critical challenge in medical and industrial applications. His foundational work, "Autonomous Shape Control of a Deformable Object by Multiple Manipulators," has garnered 48 citations, establishing a key framework in the field. Das has advanced this area with model-based robust control techniques and passivity-based methods for noncollocated feedback systems, enabling precise motion of internal target points within deformable bodies. Beyond deformable object control, his research extends to robot-assisted rehabilitation, where he has pioneered intelligent control architectures that incorporate verbal patient feedback to automate therapy and reduce therapist workload. He has also contributed to autonomous pursuit-evasion for nonholonomic robots and steerable needle testbeds for medical interventions. Through his work, Das has addressed fundamental challenges in applying finite actuation points to infinite-dimensional systems, making his research highly relevant for students and researchers in robotics, control systems, and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Shape Control of a Deformable Object by Multiple Manipulators48 citations · 2010
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- 5Planning and control of an internal point of a deformable object6 citations · 2010
- 6Robust Shape Control of Deformable Objects Using Model-Based Techniques4 citations · 2011
- 7A step toward increasing automation in robot-assisted rehabilitation4 citations · 2008
- 8A Testbed for Multilumen Steerable Needle Experiments2 citations · 2010