36 citations · 44 across the 15 of their papers we have counts for
15 papers
GRAM: Generalization in Deep RL with a Robust Adaptation Module
James Queeney, Xiaoyi Cai, Alexander Schperberg +3
The reliable deployment of deep reinforcement learning in real-world settings requires the ability to generalize across a variety of conditions, including both in-distribution scen…
PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain
Xiaoyi Cai, James Queeney, Tong Xu +8
Self-supervised learning is a powerful approach for developing traversability models for off-road navigation, but these models often struggle with inputs unseen during training. Ex…
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
Kota Kondo, Andrea Tagliabue, Xiaoyi Cai +4
Traditional optimization-based planners, while effective, suffer from high computational costs, resulting in slow trajectory generation. A successful strategy to reduce computation…
Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways
Lakshay Sharma, Jonathan P. How
To operate safely and efficiently, autonomous warehouse/delivery robots must be able to accomplish tasks while navigating in dynamic environments and handling the large uncertainti…
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma +7
Traversing terrain with good traction is crucial for achieving fast off-road navigation. Instead of manually designing costs based on terrain features, existing methods learn terra…
RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation
Lakshay Sharma, Michael Everett, Donggun Lee +3
A key challenge in fast ground robot navigation in 3D terrain is balancing robot speed and safety. Recent work has shown that 2.5D maps (2D representations with additional 3D infor…
Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments
Xiaoyi Cai, Michael Everett, Lakshay Sharma +2
A key challenge in off-road navigation is that even visually similar terrains or ones from the same semantic class may have substantially different traction properties. Existing wo…
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams
Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi +3
This paper considers the problem of safely coordinating a team of sensor-equipped robots to reduce uncertainty about a dynamical process, where the objective trades off information…
Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map
Xiaoyi Cai, Michael Everett, Jonathan Fink +1
Motion planning in off-road environments requires reasoning about both the geometry and semantics of the scene (e.g., a robot may be able to drive through soft bushes but not a fal…
A Safety and Passivity Filter for Robot Teleoperation Systems
Gennaro Notomista, Xiaoyi Cai
In this paper, we present a way of enforcing safety and passivity properties of robot teleoperation systems, where a human operator interacts with a dynamical system modeling the r…
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…
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams
Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi +3
This paper considers the problem of planning trajectories for a team of sensor-equipped robots to reduce uncertainty about a dynamical process. Optimizing the trade-off between inf…
A Distributed Pipeline for Scalable, Deconflicted Formation Flying
Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania +3
Reliance on external localization infrastructure and centralized coordination are main limiting factors for formation flying of vehicles in large numbers and in unprepared environm…
A Sequential Composition Framework for Coordinating Multi-Robot Behaviors
Pietro Pierpaoli, Anqi Li, Mohit Srinivasan +3
A number of coordinated behaviors have been proposed for achieving specific tasks for multi-robot systems. However, since most applications require more than one such behavior, one…
Passivity-Based Decentralized Control of Multi-Robot Systems With Delays Using Control Barrier Functions
Gennaro Notomista, Xiaoyi Cai, Junya Yamauchi +1
In this paper, we present a solution to the problem of coordinating multiple robots across a communication channel that experiences delays. The proposed approach leverages control…