Ben Riviere

Ben Riviere is a Postdoctoral Scholar Research Associate in Mechanical and Civil Engineering at the California Institute of Technology (Caltech), part of the Division of Engineering and Applied Science. His research focuses on advanced robotics, artificial intelligence, and control systems, with a particular emphasis on multi-agent systems, motion planning, and optimization. He explores applications in aerospace systems, urban transportation, and distributed learning frameworks.

Key research areas include Monte Carlo tree search algorithms, safety-certified motion planning for autonomous systems, and adaptive reinforcement learning for urban logistics. His work bridges theoretical advancements with practical implementations in robotics coordination, fault detection, and resource allocation.

No scientific awards are explicitly mentioned in the provided information. Riviere has not listed any advisees or students, and grants or lab affiliations are not detailed in the text.