Bernhard Paus Graesdal
Papers
1
Total Citations
11
H-Index
1
About
Bernhard Paus Graesdal is a rising researcher at the intersection of robotics, optimization, and contact-rich manipulation. His work focuses on developing principled, mathematically rigorous methods for motion planning in systems that must physically interact with their environment—a notoriously difficult challenge due to the hybrid, discontinuous nature of contact dynamics. In his highly cited 2024 paper, "Towards Tight Convex Relaxations for Contact-Rich Manipulation," Graesdal introduces a novel approach that reformulates these complex planning problems as shortest-path problems in a graph, leveraging convex optimization tools to achieve global solutions. This work, already garnering 11 citations in a short time, promises to unlock more reliable and efficient autonomous manipulation in tasks like assembly, grasping, and legged locomotion. By bridging the gap between theoretical guarantees and practical robotics, Graesdal is helping to lay the foundation for robots that can reason about contact with the same precision they apply to free-space motion. His contributions are particularly notable for their potential to make contact-rich planning both tractable and certifiable, a key step toward robust real-world autonomy.
Research Focus
Key Achievements
Top Papers
- 1Towards Tight Convex Relaxations for Contact-Rich Manipulation11 citations · 2024