Abhijeet M. Kulkarni
Papers
1
Total Citations
31
H-Index
1
About
Abhijeet M. Kulkarni is a leading researcher in bipedal locomotion and robotic motion planning, with a focus on enabling dynamic robots to navigate complex, unpredictable environments. His most cited work, "A Sequential MPC Approach to Reactive Planning for Bipedal Robots Using Safe Corridors in Highly Cluttered Environments" (2022, 31 citations), introduces a novel sequential Model Predictive Control (MPC) framework that allows bipedal robots to reactively plan paths through tight spaces with moving obstacles. By employing a directed convex decomposition of free space, Kulkarni’s method generates safe corridors that ensure real-time collision avoidance while maintaining stability. This contribution is pivotal for advancing humanoid robots into real-world settings like disaster response or crowded urban areas. His work bridges the gap between theoretical control and practical deployment, earning recognition for its innovation in reactive planning. With a growing citation record, Kulkarni continues to shape the future of legged robotics, inspiring researchers to tackle the challenges of autonomy in dynamic, cluttered environments.
Research Focus
Key Achievements
Top Papers
- 1