52 citations
- Australian National UniversityAU1 paper
- Berkshire Hathaway (United States)US1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
- Continental (France)FR1 paper
- Département d'InformatiqueFR1 paper
- École Nationale Supérieure de Techniques AvancéesFR1 paper
- École Normale Supérieure - PSLFR1 paper
- Epic Systems (United States)US1 paper
- Google (United States)US1 paper
- Gwangju Institute of Science and TechnologyKR1 paper
- Hacettepe UniversityTR1 paper
7 papers
Reinforcement learning in pursuit-evasion differential game: safety, stability and robustness
Xinyang Wang, Hongwei Zhang, Jun Xu +2
Safety and stability are two critical concerns in pursuit-evasion (PE) problems in an obstacle-rich environment. Most existing works combine control barrier functions (CBFs) and re…
Infinite-Horizon Value Function Approximation for Model Predictive Control
Armand Jordana, Sébastien Kleff, Arthur Haffemayer +4
Model Predictive Control has emerged as a popular tool for robots to generate complex motions. However, the real-time requirement has limited the use of hard constraints and large…
LAPTNet-FPN: Multi-scale LiDAR-aided Projective Transform Network for Real Time Semantic Grid Prediction
Manuel Alejandro Diaz-Zapata, David Sierra González, Özgür Erkent +2
Semantic grids can be useful representations of the scene around an autonomous system. By having information about the layout of the space around itself, a robot can leverage this…
Weakly Supervised Label Learning Flows
You Lu, Wenzhuo Song, Chidubem Arachie +1
Supervised learning usually requires a large amount of labelled data. However, attaining ground-truth labels is costly for many tasks. Alternatively, weakly supervised methods lear…
Reduced-order modeling of the fluidic pinball
Luc R. Pastur, Nan Deng, Marek Morzyński +1
The fluidic pinball is a geometrically simple flow configuration with three rotating cylinders on the vertex of an equilateral triangle. Yet, it remains physically rich enough to h…
Efficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components
Sipu Ruan, Karen L. Poblete, Hongtao Wu +2
Path planning has long been one of the major research areas in robotics, with PRM and RRT being two of the most effective classes of planners. Though generally very efficient, thes…