71 citations · 100 across the 18 of their papers we have counts for
17 papers · 1 filter
SANDO: Safe Autonomous Trajectory Planning for Dynamic Unknown Environments
Kota Kondo, Jesús Tordesillas, Jonathan P. How +3
This paper presents SANDO, a safe trajectory planner for 3D dynamic unknown environments. Existing soft-constraint planners are fast but do not guarantee collision-free paths, whil…
FOCI: Trajectory Optimization on Gaussian Splats
Mario Gomez Andreu, Maximum Wilder-Smith, Victor Klemm +3
3D Gaussian Splatting (3DGS) has recently gained popularity as a faster alternative to Neural Radiance Fields (NeRFs) in 3D reconstruction and view synthesis methods. Leveraging th…
DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation
Joshua Bagajo, Clemens Schwarke, Victor Klemm +5
Differentiable simulators provide analytic gradients, enabling more sample-efficient learning algorithms and paving the way for data intensive learning tasks such as learning from…
Continuous-Time State Estimation Methods in Robotics: A Survey
William Talbot, Julian Nubert, Turcan Tuna +5
Accurate, efficient, and robust state estimation is more important than ever in robotics as the variety of platforms and complexity of tasks continue to grow. Historically, discret…
PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner
Kota Kondo, Claudius T. Tewari, Andrea Tagliabue +4
In decentralized multiagent trajectory planners, agents need to communicate and exchange their positions to generate collision-free trajectories. However, due to localization error…
Learning Deployable Locomotion Control via Differentiable Simulation
Clemens Schwarke, Victor Klemm, Joshua Bagajo +4
Differentiable simulators promise to improve sample efficiency in robot learning by providing analytic gradients of the system dynamics. Yet, their application to contact-rich task…
Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments
Kota Kondo, Reinaldo Figueroa, Juan Rached +3
Communication delays can be catastrophic for multiagent systems. However, most existing state-of-the-art multiagent trajectory planners assume perfect communication and therefore l…
Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay
Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa +4
Although communication delays can disrupt multiagent systems, most of the existing multiagent trajectory planners lack a strategy to address this issue. State-of-the-art approaches…
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments
Jesus Tordesillas, Jonathan P. How
This paper presents Deep-PANTHER, a learning-based perception-aware trajectory planner for unmanned aerial vehicles (UAVs) in dynamic environments. Given the current state of the U…
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…
PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments
Jesus Tordesillas, Jonathan P. How
This paper presents PANTHER, a real-time perception-aware (PA) trajectory planner for multirotor-UAVs (Unmanned Aerial Vehicles) in dynamic environments. PANTHER plans trajectories…
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…
Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions
Rohan Thakker, Nikhilesh Alatur, David D. Fan +5
We propose a framework for resilient autonomous navigation in perceptually challenging unknown environments with mobility-stressing elements such as uneven surfaces with rocks and…
MADER: Trajectory Planner in Multi-Agent and Dynamic Environments
Jesus Tordesillas, Jonathan P. How
This paper presents MADER, a 3D decentralized and asynchronous trajectory planner for UAVs that generates collision-free trajectories in environments with static obstacles, dynamic…
FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments
Jesus Tordesillas, Brett T. Lopez, Michael Everett +1
Planning high-speed trajectories for UAVs in unknown environments requires algorithmic techniques that enable fast reaction times to guarantee safety as more information about the…
FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments
Jesus Tordesillas, Brett T. Lopez, Jonathan P. How
High-speed trajectory planning through unknown environments requires algorithmic techniques that enable fast reaction times while maintaining safety as new information about the op…
Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments
Jesus Tordesillas, Brett T. Lopez, John Carter +2
Autonomous navigation through unknown environments is a challenging task that entails real-time localization, perception, planning, and control. UAVs with this capability have begu…