Oded Medina
Papers
11
Total Citations
129
H-Index
7
About
Oded Medina is a robotics researcher whose work spans motion planning, swarm robotics, flexible mechanisms, and modular self-reconfigurable systems. His most cited paper introduces the CPRM algorithm for real-time motion planning in hyper-redundant mechanisms (33 citations), while his research on robotic swarms for load carrying and manipulation (18 citations) draws inspiration from ant colonies to coordinate multi-agent systems. Medina has made significant contributions to flexible robotics, including a novel resistor-based shape sensor for spatial manifolds (16 citations) and the theoretical foundation for actuated flexible n-manifolds (13 citations). His work on quadrupedal robots with active back joints uses genetic algorithms for self-learning gait optimization (13 citations), and he has addressed kinematic singularities in omnidirectional robots (10 citations). More recently, Medina has advanced modular self-reconfigurable robots with algorithms for sliding triangular modules and introduced the concept of statistical multi-robot systems, where large swarms are controlled using principles from statistical physics. His research consistently tackles the computational complexity of robot motion planning through innovative compression and equivalence techniques, demonstrating impact across multiple subfields of robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic Swarm Motion Planning for Load Carrying and Manipulating18 citations · 2020
- 3Resistor-Based Shape Sensor for a Spatial Flexible Manifold16 citations · 2016
- 4Kinematics for an Actuated Flexible n-Manifold13 citations · 2015
- 5
- 6
- 7C-Space Compression for Robots Motion Planning8 citations · 2013
- 8
- 9
- 10A Self-Reconfiguration Algorithm for Sliding Triangular Modular Robots4 citations · 2024