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11/10/2020
AES: Autonomous Excavator System for Real-World and Hazardous Environments
Excavators are widely used for material-handling applications in unstruc...
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10/27/2020
Optimization-Based Framework for Excavation Trajectory Generation
In this paper, we present a novel optimization-based framework for auton...
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06/01/2020
Time Variable Minimum Torque Trajectory Optimization for Autonomous Excavator
In this paper, we present a minimal torque and time variable trajectory ...
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10/22/2019
Learning Resilient Behaviors for Navigation Under Uncertainty Environments
Deep reinforcement learning has great potential to acquire complex, adap...
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09/30/2018
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds
We aim to enable a mobile robot to navigate through environments with de...
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08/11/2018
Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios
In this paper, we present a decentralized sensor-level collision avoidan...
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09/28/2017
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Developing a safe and efficient collision avoidance policy for multiple ...
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09/22/2016
