activity
20162023
most citedLearning agile and dynamic motor skills for legged robots

1.5k citations · 6.3k across the 69 of their papers we have counts for

collaborators
Showing 2023Show all

14 papers · 1 filter

cs.RO2023

Towards Autonomous Excavation Planning

Lorenzo Terenzi, Marco Hutter

Excavation plans are crucial in construction projects, dictating the dirt disposal strategy and excavation sequence based on the final geometry and machinery available. While most…

cs.RO2023★ 73 cited

Versatile Multi-Contact Planning and Control for Legged Loco-Manipulation

Jean-Pierre Sleiman, Farbod Farshidian, Marco Hutter

Loco-manipulation planning skills are pivotal for expanding the utility of robots in everyday environments. These skills can be assessed based on a system's ability to coordinate c…

cs.RO2023★ 116 cited

Scientific Exploration of Challenging Planetary Analog Environments with a Team of Legged Robots

Philip Arm, Gabriel Waibel, Jan Preisig +8

The interest in exploring planetary bodies for scientific investigation and in-situ resource utilization is ever-rising. Yet, many sites of interest are inaccessible to state-of-th…

cs.LG2023★ 1 cited

RAYEN: Imposition of Hard Convex Constraints on Neural Networks

Jesus Tordesillas, Victor Klemm, Jonathan P. How +1

Despite the numerous applications of convex constraints in Robotics, enforcing them within learning-based frameworks remains an open challenge. Existing techniques either fail to g…

cs.RO2023

ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots

David Hoeller, Nikita Rudin, Dhionis Sako +1

Performing agile navigation with four-legged robots is a challenging task due to the highly dynamic motions, contacts with various parts of the robot, and the limited field of view…

cs.RO2023

SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments

Changan Chen, Jonas Frey, Philip Arm +1

Robotic exploration or monitoring missions require mobile robots to autonomously and safely navigate between multiple target locations in potentially challenging environments. Curr…