Search Results - "Fisac, Jaime Fernandez"

FaSTrack:A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking by Chen, Mo, Herbert, Sylvia L., Hu, Haimin, Pu, Ye, Fisac, Jaime Fernandez, Bansal, Somil, Han, SooJean, Tomlin, Claire J.

“…Real-time, guaranteed safe trajectory planning is vital for navigation in unknown environments. However, real-time navigation algorithms typically sacrifice…”
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Game-theoretic Safety Assurance for Human-centered Robotic Systems by Fernandez Fisac, Jaime

“…In order for autonomous systems like robots, drones, and self-driving cars to be reliably introduced into our society, they must have the ability to actively…”
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Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity by Liang, Kaiqu, Zhang, Zixu, Fisac, Jaime Fernández

“…Large language models (LLMs) exhibit advanced reasoning skills, enabling robots to comprehend natural language instructions and strategically plan high-level…”
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MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety by Wang, Justin, Hu, Haimin, Nguyen, Duy Phuong, Fisac, Jaime Fernández

“…While robust optimal control theory provides a rigorous framework to compute robot control policies that are provably safe, it struggles to scale to…”
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Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization by Dragotto, Gabriele, Clarke, Stefan, Fisac, Jaime Fernández, Stellato, Bartolomeo

“…We consider the problem of solving a family of parametric mixed-integer linear optimization problems where some entries in the input data change. We introduce…”
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The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems by Hsu, Kai-Chieh, Hu, Haimin, Fisac, Jaime Fernández

“…Recent years have seen significant progress in the realm of robot autonomy, accompanied by the expanding reach of robotic technologies. However, the emergence…”
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Learning Rationality in Potential Games by Clarke, Stefan, Dragotto, Gabriele, Fisac, Jaime Fernández, Stellato, Bartolomeo

“…We propose a stochastic first-order algorithm to learn the rationality parameters of simultaneous and non-cooperative potential games, i.e., the parameters of…”
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ISAACS: Iterative Soft Adversarial Actor-Critic for Safety by Hsu, Kai-Chieh, Nguyen, Duy Phuong, Fisac, Jaime Fernández

“…The deployment of robots in uncontrolled environments requires them to operate robustly under previously unseen scenarios, like irregular terrain and wind…”
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Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions by Hu, Haimin, DeCastro, Jonathan, Gopinath, Deepak, Rosman, Guy, Leonard, Naomi Ehrich, Fisac, Jaime Fernández

“…Non-cooperative interactions commonly occur in multi-agent scenarios such as car racing, where an ego vehicle can choose to overtake the rival, or stay behind…”
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Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion by Huang, Zhiyu, Zhang, Zixu, Vaidya, Ameya, Chen, Yuxiao, Lv, Chen, Fisac, Jaime Fernández

“…Generating realistic and controllable agent behaviors in traffic simulation is crucial for the development of autonomous vehicles. This problem is often…”
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Emergent Coordination through Game-Induced Nonlinear Opinion Dynamics by Hu, Haimin, Nakamura, Kensuke, Hsu, Kai-Chieh, Leonard, Naomi Ehrich, Fisac, Jaime Fernández

“…We present a multi-agent decision-making framework for the emergent coordination of autonomous agents whose intents are initially undecided. Dynamic…”
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Blending Data-Driven Priors in Dynamic Games by Lidard, Justin, Hu, Haimin, Hancock, Asher, Zhang, Zixu, Contreras, Albert Gimó, Modi, Vikash, DeCastro, Jonathan, Gopinath, Deepak, Rosman, Guy, Leonard, Naomi Ehrich, Santos, María, Fisac, Jaime Fernández

“…As intelligent robots like autonomous vehicles become increasingly deployed in the presence of people, the extent to which these systems should leverage…”
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