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Found 5 papers, 2 papers with code
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
This difficulty arises from the requirement to pinpoint vulnerabilities across a long-tailed distribution within a high-dimensional, temporally sequential space.
Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots
These missions demonstrate the system's robustness and adaptability, underscoring the importance of integrated control systems in achieving seamless navigation in complex environments.
MEM: Multi-Modal Elevation Mapping for Robotics and Learning
Elevation maps are commonly used to represent the environment of mobile robots and are instrumental for locomotion and navigation tasks.
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
We show emergent risk sensitive locomotion behavior in simulation and on the quadrupedal robot ANYmal.
Distributional Reinforcement Learning
reinforcement-learning
Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning
We first evaluate a supervised learning approach on synthetic data for which we have the full ground-truth available and subsequently move to several real-world datasets.
