Thomas Larsson

Mälardalen University, KTH Royal Institute of Technology

Papers

Total Citations

167

H-Index

About

Thomas Larsson is a leading researcher in computer graphics and robotics, with a primary focus on collision detection for deformable bodies—a critical challenge in virtual reality, animation, simulation, and gaming. His seminal 2001 paper, "Collision Detection for Continuously Deforming Bodies," has garnered 147 citations, establishing a foundational framework for fast and accurate interference detection in dynamic environments where objects change shape. This work directly addresses the problem of preventing geometric interpenetration, enabling more realistic and robust simulations. Larsson further advanced the field with his 2009 study on "Adaptive Bounding Volume Hierarchies for Efficient Collision Queries" (15 citations), which optimized hierarchical structures to accelerate queries in applications ranging from virtual prototyping to surgery simulation. His earlier research also includes control stability analysis for robotic manipulators, such as the PUMA-560 (5 citations), demonstrating a broader expertise in robotics. Through these contributions, Larsson has significantly enhanced the efficiency and reliability of collision detection systems, impacting both academic research and practical implementations in computer games, robotics, and visualization.