output
20072025
most citedLearning Quadrupedal Locomotion over Challenging Terrain

1.1k citations

Showing cs.ROShow all

8 papers · 1 filter

cs.RO2025★ 20 cited

Learning coordinated badminton skills for legged manipulators

Yuntao Ma, Andrei Cramariuc, Farbod Farshidian +1

Coordinating the motion between lower and upper limbs and aligning limb control with perception are substantial challenges in robotics, particularly in dynamic environments. To thi…

cs.RO2023★ 116 cited

DTC: Deep Tracking Control

Fabian Jenelten, Junzhe He, Farbod Farshidian +1

Legged locomotion is a complex control problem that requires both accuracy and robustness to cope with real-world challenges. Legged systems have traditionally been controlled usin…

cs.RO2022★ 793 cited

Learning robust perceptive locomotion for quadrupedal robots in the wild

Takahiro Miki, Joonho Lee, Jemin Hwangbo +3

Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into under-explored areas. Exteroceptive percep…

cs.RO2021★ 34 cited

Contact-Implicit Trajectory Optimization for Dynamic Object Manipulation

Jean-Pierre Sleiman, Jan Carius, Ruben Grandia +2

We present a reformulation of a contact-implicit optimization (CIO) approach that computes optimal trajectories for rigid-body systems in contact-rich settings. A hard-contact mode…

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.RO2018★ 9 cited

An informative path planning framework for UAV-based terrain monitoring

Marija Popovic, Teresa Vidal-Calleja, Gregory Hitz +4

Unmanned Aerial Vehicles (UAVs) represent a new frontier in a wide range of monitoring and research applications. To fully leverage their potential, a key challenge is planning mis…