activity
20192022
most citedLearning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates

48 citations · 131 across the 19 of their papers we have counts for

collaborators

20 papers

cs.RO20222 cited

Barrier functions enable safety-conscious force-feedback control

Charles Dawson, Austin Garrett, Falk Pollok +2

In order to be effective partners for humans, robots must become increasingly comfortable with making contact with their environment. Unfortunately, it is hard for robots to distin…

cs.RO2022

Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning

Yue Meng, Zeng Qiu, Md Tawhid Bin Waez +1

Density of the reachable states can help understand the risk of safety-critical systems, especially in situations when worst-case reachability is too conservative. Recent work prov…

cs.RO20221 cited

Certifiable Robot Design Optimization using Differentiable Programming

Charles Dawson, Chuchu Fan

There is a growing need for computational tools to automatically design and verify autonomous systems, especially complex robotic systems involving perception, planning, control, a…

cs.RO202220 cited

Cooperative Task and Motion Planning for Multi-Arm Assembly Systems

Jingkai Chen, Jiaoyang Li, Yijiang Huang +7

Multi-robot assembly systems are becoming increasingly appealing in manufacturing due to their ability to automatically, flexibly, and quickly construct desired structural designs.…

cs.RO2022

Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic

Charles Dawson, Chuchu Fan

Signal temporal logic (STL) provides a powerful, flexible framework for specifying complex autonomy tasks; however, existing methods for planning based on STL specifications have d…

cs.RO20222 cited

Multi-agent Motion Planning from Signal Temporal Logic Specifications

Dawei Sun, Jingkai Chen, Sayan Mitra +1

We tackle the challenging problem of multi-agent cooperative motion planning for complex tasks described using signal temporal logic (STL), where robots can have nonlinear and nonh…