2026.10.20: "Vector-Quantized World Model: Latent Feedback Motion Planning for Robot Manipulation" is now on Arxiv! [paper]
2026.10.20: Congratulations to Julien Roger for ""Prix du Stage de Recherche" (best internship in Applied Math department at Ecole Polytechnique)!
2026.10.16: Congratulations to Ethan Pichon for finalist selection on "Gee Family SURF Competition" (Caltech's summer internship program)!
2026.10.16: Ben Riviere interviewed on NBC national news! [link]
2026.10.14: "Mixing Regularization for Average-Reward Q-Learning and Q-Planning" is now on Arxiv! [paper]
2026.08.28: "Illumination Aware Active Sensing" is accepted to ISPARO 2026! [paper]
2026.05.07: Congratulations to Rika Valluri for "MAE Outstanding Research Award!" for her work on "Illumination-Aware Active Sensing for Spacecraft Inspection"!
2026.02.09: "Spectral Decomposition of Inverse Dynamics for Fast Exploration in Model-Based Manipulation" has been accepted at ICRA 2026!
2025.09.18: "DISC: Dynamic Decomposition Improves LLM Inference Scaling" has been accepted at NeurIPS 2025
2025.05.23: "Online Tree-based Planning for Active Spacecraft Fault Estimation and Collision Avoidance" accepted (Spotlight) at RSS's Space Robotics Workshop. (Best Presentation Award)
2025.05.23: "Spectral Expansion Tree Search Enables Search and Learning for Robotics" accepted at ICRA's Structured Learning Workshop
2025.04.15: The RRL will start at NYU in September 1, 2025!
2024.12.01: "Monte Carlo tree search with spectral expansion for planning with dynamical systems" is selected as Cover of Science Robotics!
2024.07.01: Ben Riviere is selected for the California Institute of Technology Aerospace department's outstanding dissertation award!
2023.11.01: "Bayesian Active Sensing for Fault Estimation with Belief Space Tree Search" is selected as 2023 AIAA Guidance, Navigation and Control Graduate Student Paper Competition Winner
2023.07.01: Ben Riviere is selected as Robotics: Science and Systems Pioneer
2020.06.01: "GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning" is selected as Honorable Mention for the IEEE Robotics and Automation Letters Best Paper Award (< 1% of all papers)