output
20072026
most citedLearning Quadrupedal Locomotion over Challenging Terrain

1.1k citations

Showing 2020Show all

14 papers · 1 filter

cs.RO2020★ 138 cited

RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control

Siddhant Gangapurwala, Mathieu Geisert, Romeo Orsolino +2

We present a unified model-based and data-driven approach for quadrupedal planning and control to achieve dynamic locomotion over uneven terrain. We utilize on-board proprioceptive…

cs.RO2020★ 22 cited

Volumetric Occupancy Mapping With Probabilistic Depth Completion for Robotic Navigation

Marija Popovic, Florian Thomas, Sotiris Papatheodorou +3

In robotic applications, a key requirement for safe and efficient motion planning is the ability to map obstacle-free space in unknown, cluttered 3D environments. However, commodit…

cs.RO2020★ 1 cited

Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition

Jonah Siekmann, Yesh Godse, Alan Fern +1

We study the problem of realizing the full spectrum of bipedal locomotion on a real robot with sim-to-real reinforcement learning (RL). A key challenge of learning legged locomotio…

cs.RO2020★ 1.1k cited

Learning Quadrupedal Locomotion over Challenging Terrain

Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen +2

Some of the most challenging environments on our planet are accessible to quadrupedal animals but remain out of reach for autonomous machines. Legged locomotion can dramatically ex…

cs.RO2020★ 1 cited

TAMPC: A Controller for Escaping Traps in Novel Environments

Sheng Zhong, Zhenyuan Zhang, Nima Fazeli +1

We propose an approach to online model adaptation and control in the challenging case of hybrid and discontinuous dynamics where actions may lead to difficult-to-escape "trap" stat…

cs.RO2020

Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection

Florian Richter, Shihao Shen, Fei Liu +4

Autonomous robotic surgery has seen significant progression over the last decade with the aims of reducing surgeon fatigue, improving procedural consistency, and perhaps one day ta…