Valeriy Semenov
Papers
1
Total Citations
5
H-Index
1
About
Valeriy Semenov is a roboticist whose research centers on task and motion planning (TAMP) for mobile manipulators, with a particular focus on optimization-based approaches that bridge discrete logic and continuous geometry. His most cited work introduces R-LGP, a reachability-guided logic-geometric programming framework that addresses a critical scalability bottleneck in traditional LGP methods. By incorporating reachability analysis to prune infeasible symbolic actions before geometric optimization, Semenov’s framework enables efficient, optimal planning for complex manipulation tasks—such as those requiring a mobile base to reposition for grasping. This contribution has already garnered 5 citations since its 2024 publication, signaling growing recognition in the robotics community. Semenov’s work is notable for its practical impact on autonomous systems, offering a principled way to handle the hybrid constraints that arise in real-world environments. For students and researchers, his research exemplifies how integrating geometric reasoning with symbolic planning can advance the frontier of mobile manipulation, making robots more capable in unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1