Sotabase

Career

· Ph.D. in Aeronautics and Astronautics, Massachusetts Institute of Technology
· Research Technologist, NASA Jet Propulsion Laboratory
· Distinguished Research Scientist, NVIDIA
· Associate Professor of Aeronautics and Astronautics, Stanford University
· Laurea degree in Ingegneria Informatica, University of Catania

Publications (875)

Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data
European Conference on Computer Vision · 2020
1,164
cited
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Journal of machine learning research · 2015
588
cited
Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions
International Symposium of Robotics Research · 2013
582
cited
Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore
2014
475
cited
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs
IEEE International Conference on Computer Vision · 2018
458
cited
Control of robotic mobility-on-demand systems: A queueing-theoretical perspective
Int. J. Robotics Res. · 2014
402
cited
Learning Sampling Distributions for Robot Motion Planning
IEEE International Conference on Robotics and Automation · 2017
389
cited
FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization
Computer Vision and Pattern Recognition · 2023
376
cited
Text2Motion: from natural language instructions to feasible plans
Autonomous Robots · 2023
367
cited
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Neural Information Processing Systems · 2015
365
cited
Robotic load balancing for mobility-on-demand systems
Int. J. Robotics Res. · 2012
298
cited
Dynamic Vehicle Routing for Robotic Systems
Proceedings of the IEEE · 2011
232
cited
Guided Conditional Diffusion for Controllable Traffic Simulation
IEEE International Conference on Robotics and Automation · 2022
221
cited
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics
International Symposium of Robotics Research · 2017
213
cited
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
International Conference on Learning Representations · 2023
203
cited
Robust online motion planning via contraction theory and convex optimization
IEEE International Conference on Robotics and Automation · 2017
194
cited
Cellular Network Traffic Scheduling With Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence · 2018
190
cited
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems
IEEE International Conference on Robotics and Automation · 2017
183
cited
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Neural Information Processing Systems · 2024
183
cited
Decentralized policies for geometric pattern formation
American Control Conference · 2007
182
cited
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