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07/16/2023
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
We introduce DualMind, a generalist agent designed to tackle various dec...
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03/07/2023
ConBaT: Control Barrier Transformer for Safe Policy Learning
Large-scale self-supervised models have recently revolutionized our abil...
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10/28/2022
Learning Modular Simulations for Homogeneous Systems
Complex systems are often decomposed into modular subsystems for enginee...
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09/22/2022
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training
Robotics has long been a field riddled with complex systems architecture...
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09/22/2022
Learning to Simulate Realistic LiDARs
Simulating realistic sensors is a challenging part in data generation fo...
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08/04/2022
LaTTe: Language Trajectory TransformEr
Natural language is one of the most intuitive ways to express human inte...
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03/01/2021
Representation Learning for Event-based Visuomotor Policies
Event-based cameras are dynamic vision sensors that can provide asynchro...
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10/30/2020
Adversarial Attacks on Optimization based Planners
Trajectory planning is a key piece in the algorithmic architecture of a ...
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03/12/2020
AirSim Drone Racing Lab
Autonomous drone racing is a challenging research problem at the interse...
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01/22/2020
Safety Considerations in Deep Control Policies with Probabilistic Safety Barrier Certificates
Recent advances in Deep Machine Learning have shown promise in solving c...
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05/07/2019
Collaborative Localization for Micro Aerial Vehicles
In this paper, we present a framework for performing collaborative local...
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08/01/2018
Drone Detection Using Depth Maps
Obstacle avoidance is a key feature for safe Unmanned Aerial Vehicle (UA...
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04/07/2018
