Papers
8
Total Citations
160
H-Index
6
About
Torea Foissotte is a roboticist whose research centers on autonomous manipulation and perception for humanoid robots, with a particular emphasis on dual-arm coordination, 3D object modeling, and error recovery. Her most influential work, "Pick and place planning for dual-arm manipulators" (2012, 47 citations), introduced a two-phase planning method that enables robots to efficiently grasp and transfer objects using both arms—a foundational contribution to dexterous manipulation. She also advanced autonomous 3D modeling through a series of papers (2008–2010, totaling over 50 citations) that developed next-best-view algorithms, allowing humanoid robots to actively explore and build visual models of unknown objects by coupling computer vision with whole-body posture generation. Her work on "Error recovery using task stratification and error classification" (2013, 28 citations) further enhanced robotic robustness by decomposing manipulation tasks into skills and enabling systematic error handling. Foissotte’s research bridges perception, planning, and control, with her combined work accumulating over 150 citations. Her contributions are particularly notable for addressing the unique constraints of humanoid platforms, such as limited sensors and complex kinematics, making autonomous object manipulation and modeling more reliable in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Pick and place planning for dual-arm manipulators47 citations · 2012
- 2
- 33D grid and particle based SLAM for a humanoid robot25 citations · 2009
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- 7Treasure hunting for humanoids robot6 citations · 2008
- 8