Papers
8
Total Citations
66
H-Index
4
About
Wissam Bejjani is a leading researcher in cognitive robotics, focusing on autonomous manipulation for everyday household chores. His work bridges the gap between high-level reasoning and low-level physical interaction, enabling robots to perform complex tasks like wiping, object retrieval, and manipulation in cluttered environments. Bejjani’s most influential contribution is the development of cognition-enabled robotic wiping systems, which integrate representation, planning, execution, and interpretation—a framework that has garnered over 24 citations for his seminal 2016 paper. He has also advanced learning-based approaches for manipulation in clutter, notably through image-based Receding Horizon Planning, which combines simulation-trained value functions with real-world execution to handle uncertainty. His 2021 paper on occlusion-aware search for object retrieval addresses the practical challenge of finding hidden items on cluttered shelves, requiring both probabilistic reasoning and physics-based planning. With a total of over 60 citations across his key works, Bejjani’s research is foundational for service robotics, demonstrating how robots can autonomously perform delicate, multi-step tasks like cleaning spills or collecting broken objects. His 2021 thesis synthesizes these contributions, offering a comprehensive framework for learning deep policies that generalize from simulation to real-world environments.
Research Focus
Key Achievements
Top Papers
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- 3Learning image-based Receding Horizon Planning for manipulation in clutter11 citations · 2021
- 4Planning with a Receding Horizon for Manipulation in Clutter using a Learned Value Function4 citations · 2018
- 5Occlusion-Aware Search for Object Retrieval in Clutter3 citations · 2021
- 6Automated Planning of Whole-Body Motions for Everyday Household Chores with a Humanoid Service Robot3 citations · 2015
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