Peter Sujan
Papers
1
Total Citations
49
H-Index
1
About
Peter Sujan is a leading researcher in robotic manipulation and autonomous exploration, with a focus on enabling robots to operate effectively in unstructured, cluttered environments. His seminal work, "Active exploration using trajectory optimization for robotic grasping in the presence of occlusions" (2015, 49 citations), addresses a critical challenge in robotics: how to grasp objects hidden from view. Sujan pioneered a method that integrates real-time 3D voxel mapping—using an RGB-D sensor mounted on the robot gripper—with trajectory optimization to actively explore and clear occlusions. This approach allows robots to dynamically update their understanding of the environment and plan optimal grasping motions without prior knowledge of object geometry or location. His contributions have significantly advanced the field of active perception and manipulation, bridging the gap between exploration and task execution. Sujan’s work is highly cited for its practical impact on warehouse automation, assistive robotics, and search-and-rescue operations, where adaptability and robustness are paramount. Through his innovative integration of sensing, planning, and control, Sujan has established himself as a key figure in the development of intelligent, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1