Kakali Sarkar

Papers

Total Citations

159

H-Index

About

Kakali Sarkar is a pioneering researcher in the intersection of neural networks and robotics, with a primary focus on bio-inspired control systems for pneumatic robotic platforms. Her most influential work, "Neural network control of a pneumatic robot arm" (1994, 156 citations), introduced a neural map algorithm to control a five-joint pneumatic robot arm and gripper using visual feedback from two video cameras. This study was groundbreaking because the pneumatically driven SoftArm mimicked the mechanical properties of skeletal muscle, offering a more compliant and human-like alternative to traditional rigid robotic systems. Sarkar's research demonstrated how neural networks could adaptively manage the nonlinear dynamics of pneumatic actuators, bridging the gap between biological motor control and artificial systems. Her work on the Topology Representing Network in robotics (1996) further explored self-organizing neural architectures for spatial representation and motion planning. With over 150 citations on her seminal paper, Sarkar's contributions have influenced subsequent developments in soft robotics, neural control, and human-robot interaction, establishing her as a key figure in the early integration of neural computation with pneumatic actuation systems.