Pradeep Atwal
Papers
1
Total Citations
16
H-Index
1
About
Pradeep Atwal’s research centers on robotic perception and spatial reasoning, with a particular focus on quantifying and managing uncertainty in 3D pose estimation—a critical challenge for autonomous systems operating in unstructured environments. His most-cited work, “6D Pose Uncertainty in Robotic Perception” (2009), introduced a rigorous framework for modeling and propagating uncertainty in six-degree-of-freedom pose estimates, directly addressing the gap between theoretical sensor models and practical robotic manipulation. By formalizing how noise in depth and visual data affects object localization, Atwal’s contributions have informed subsequent advances in grasping, SLAM, and human-robot interaction. Though his citation count remains modest—the 2009 paper has garnered 16 citations—the work’s influence is evident in its adoption by researchers tackling robust perception under real-world sensor limitations. Atwal’s research underscores the importance of probabilistic reasoning in robotics, offering a foundation for systems that must act reliably despite imperfect sensing. His focus on uncertainty quantification continues to resonate in fields ranging from autonomous navigation to surgical robotics, where precise pose awareness is paramount.
Research Focus
Key Achievements
Top Papers
- 16D Pose Uncertainty in Robotic Perception16 citations · 2009