Kunal Shah — accepted AI-conference papers

2024

Online Path Repair: Adapting to Robot Failures in Multi-Robot Aerial Surveys

RA-L 2024

Multiple Unpiloted Aerial Vehicles (UAVs) working together have the potential to efficiently survey large geographical areas. Unfortunately, UAVs in the field may fail midway through a survey due to adverse weather, faster-than-expected battery drain, or mechanical malfunction, leaving part of the s

Cited by 4 Source ↗Scholar ↗

2020

Scalable Cooperative Transport of Cable-Suspended Loads With UAVs Using Distributed Trajectory Optimization

Brian E. Jackson, Taylor A. Howell, Kunal Shah, Mac Schwager, Zachary Manchester

RA-L 2020

Most approaches to multi-robot control either rely on local decentralized control policies that scale well in the number of agents, or on centralized methods that can handle constraints and produce rich system-level behavior, but are typically computationally expensive and scale poorly in the number

Cited by 64 Source ↗Scholar ↗