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About

Fabien Lagriffoul is a leading researcher in the intersection of artificial intelligence and robotics, specializing in combined task and motion planning (CTAMP). His work addresses the fundamental challenge of integrating high-level symbolic reasoning with low-level geometric constraints, enabling robots to autonomously plan and execute complex physical tasks. Lagriffoul’s major contribution is the development of constraint-based approaches that efficiently solve kinematically constrained problems, as demonstrated in his highly cited 2014 paper (110 citations). He introduced the concept of “geometric backtracking” (2012, 72 citations), a critical method for resolving conflicts that arise when symbolic actions cannot be geometrically validated—a key bottleneck in hybrid planning. His research has been applied to bi-manual and humanoid robotic systems, advancing the field’s ability to handle dual-arm coordination and real-world manipulation. With over 300 total citations across his most influential works, Lagriffoul’s innovations have provided foundational frameworks for CTAMP, making him a pivotal figure in autonomous robotics and a go-to reference for researchers tackling the integration of task and motion planning.