activity
20162026
most citedNeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge

20 citations · 43 across the 20 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.RO2021

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC

Andrea Tagliabue, Dong-Ki Kim, Michael Everett +1

We propose a demonstration-efficient strategy to compress a computationally expensive Model Predictive Controller (MPC) into a more computationally efficient representation based o…

cs.RO2021★ 2 cited

Model-free online motion adaptation for energy efficient flights of multicopters

Xiangyu Wu, Jun Zeng, Andrea Tagliabue +1

Limited flight distance and time is a common problem for multicopters. We propose a method for finding the optimal speed and sideslip angle of a multicopter flying a given path to…

cs.RO2021

Airflow-Inertial Odometry for Resilient State Estimation on Multirotors

Andrea Tagliabue, Jonathan P. How

We present a dead reckoning strategy for increased resilience to position estimation failures on multirotors, using only data from a low-cost IMU and novel, bio-inspired airflow se…

cs.RO2021★ 20 cited

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge

Ali Agha, Kyohei Otsu, Benjamin Morrell +69

This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…

cs.RO2021

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments

Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai +4

State estimation for robots navigating in GPS-denied and perceptually-degraded environments, such as underground tunnels, mines and planetary subsurface voids, remains challenging…