activity
20182022
most citedRectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation

40 citations · 71 across the 20 of their papers we have counts for

collaborators

23 papers

cs.RO2022★ 1 cited

Design and control of a collision-resilient aerial vehicle with an icosahedron tensegrity structure

Jiaming Zha, Xiangyu Wu, Ryan Dimick +1

We introduce collision-resilient aerial vehicles with icosahedron tensegrity structures, capable of surviving high-speed impacts and resuming operations post-collision. We present…

cs.RO2022

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned

Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter +33

This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with…

cs.RO2022

Perception-aware receding horizon trajectory planning for multicopters with visual-inertial odometry

Xiangyu Wu, Shuxiao Chen, Koushil Sreenath +1

Visual inertial odometry (VIO) is widely used for the state estimation of multicopters, but it may function poorly in environments with few visual features or in overly aggressive…

eess.SY2022★ 1 cited

Tethered Power for a Series of Quadcopters: Analysis and Applications

Karan P. Jain, Prasanth Kotaru, Massimiliano de Sa +2

Tethered quadcopters are used for extended flight operations where the power to the system is provided via a tether connected to an external power source. In this work, we consider…

cs.RO2022★ 1 cited

Learning Torque Control for Quadrupedal Locomotion

Shuxiao Chen, Bike Zhang, Mark W. Mueller +2

Reinforcement learning (RL) has become a promising approach to developing controllers for quadrupedal robots. Conventionally, an RL design for locomotion follows a position-based p…

cs.RO2022★ 2 cited

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Marco Tranzatto, Frank Mascarich, Lukas Bernreiter +38

Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy h…