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08/14/2023
Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
In multisite trials, statistical goals often include obtaining individua...
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07/19/2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
Deploying deep visual models can lead to performance drops due to the di...
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05/13/2023
Seeing Through the Grass: Semantic Pointcloud Filter for Support Surface Learning
Mobile ground robots require perceiving and understanding their surround...
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03/28/2023
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
Effective use of camera-based vision systems is essential for robust per...
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01/09/2023
Learning-based Design and Control for Quadrupedal Robots with Parallel-Elastic Actuators
Parallel-elastic joints can improve the efficiency and strength of robot...
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11/16/2022
Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models
Unsupervised domain adaptation (UDA) aims to improve the prediction perf...
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10/06/2022
Meta Reinforcement Learning for Optimal Design of Legged Robots
The process of robot design is a complex task and the majority of design...
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08/31/2022
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
Most unsupervised domain adaptation (UDA) methods assume that labeled so...
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03/23/2022
Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
In recent years, reinforcement learning (RL) has shown outstanding perfo...
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01/20/2022
Learning robust perceptive locomotion for quadrupedal robots in the wild
Legged robots that can operate autonomously in remote and hazardous envi...
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01/11/2022
Combining Learning-based Locomotion Policy with Model-based Manipulation for Legged Mobile Manipulators
Deep reinforcement learning produces robust locomotion policies for legg...
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11/17/2020
Circus ANYmal: A Quadruped Learning Dexterous Manipulation with Its Limbs
Quadrupedal robots are skillful at locomotion tasks while lacking manipu...
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10/21/2020
Learning Quadrupedal Locomotion over Challenging Terrain
Some of the most challenging environments on our planet are accessible t...
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09/18/2019
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning
This paper addresses the problem of legged locomotion in non-flat terrai...
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05/26/2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
Activation functions play an important role in the training of artificia...
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01/24/2019
Learning agile and dynamic motor skills for legged robots
Legged robots pose one of the greatest challenges in robotics. Dynamic a...
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01/22/2019
