Rashmi Sundareswara
Papers
1
Total Citations
7
H-Index
1
About
Rashmi Sundareswara is a researcher at the intersection of robotics, neuroscience, and artificial intelligence, with a primary focus on bio-inspired control systems for robotic manipulation. Her most cited work, "A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots" (2012, 7 citations), introduces a novel controller that mimics human motor strategies to enable robots to navigate around obstacles during reaching motions. This contribution is significant for advancing the field of autonomous robotics, particularly in developing more natural and adaptive movement in real-world environments. Sundareswara's research draws on principles of human motor control and neural computation, aiming to bridge the gap between biological systems and artificial agents. Though her citation count is modest, her work is notable for its interdisciplinary approach and practical application in real robotic systems, demonstrating a commitment to translating theoretical insights into tangible robotic capabilities. Her contributions are particularly relevant for students and researchers interested in embodied AI, human-robot interaction, and the design of controllers that prioritize safety and efficiency in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1