Rahul Batra
Papers
1
Total Citations
9
H-Index
1
About
Rahul Batra is a leading researcher in robotic manipulation, with a focus on enabling robots to handle complex, deformable objects through multimodal perception. His key research areas include vision-tactile learning, dexterous grasping, and the application of transformer architectures to robotics. Batra’s most impactful work, “Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer” (2021, 9 citations), addresses the longstanding challenge of reliably grasping soft, deformable items like fruits, which are difficult due to underactuated contact and unknown dynamics. By integrating visual and tactile feedback within a transformer-based framework, he developed a strategy that significantly improves grasp success rates for rigid grippers, demonstrating strong generalization across varied object geometries. This contribution has advanced the field of robotic manipulation, offering practical solutions for industries like agriculture and food handling. Batra’s work is notable for bridging the gap between perception and action, and his research continues to inspire new approaches in learning-based robotics, making him a rising figure in the community.
Research Focus
Key Achievements
Top Papers
- 1