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01/06/2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems
Control certificates based on barrier functions have been a powerful too...
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09/14/2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Safety and stability are common requirements for robotic control systems...
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09/14/2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates
Reactive and safe agent modelings are important for nowadays traffic sim...
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06/24/2021
Density Constrained Reinforcement Learning
We study constrained reinforcement learning (CRL) from a novel perspecti...
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04/18/2021
MonoGRNet: A General Framework for Monocular 3D Object Detection
Detecting and localizing objects in the real 3D space, which plays a cru...
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01/14/2021
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
We study the multi-agent safe control problem where agents should avoid ...
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07/28/2020
Weakly Supervised 3D Object Detection from Point Clouds
A crucial task in scene understanding is 3D object detection, which aims...
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10/26/2019
KETO: Learning Keypoint Representations for Tool Manipulation
We aim to develop an algorithm for robots to manipulate novel objects as...
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06/04/2019
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
In this paper, we study the problem of 3D object detection from stereo i...
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11/26/2018
