91 citations · 524 across the 63 of their papers we have counts for
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Safe Learning of Quadrotor Dynamics Using Barrier Certificates
Li Wang, Evangelos A. Theodorou, Magnus Egerstedt
To effectively control complex dynamical systems, accurate nonlinear models are typically needed. However, these models are not always known. In this paper, we present a data-drive…
Differentially Private Cloud-Based Multi-Agent Optimization with Constraints
Matthew Hale, Magnus Egerstedt
We present an optimization framework that solves constrained multi-agent optimization problems while keeping each agent's state differentially private. The agents in the network se…
Performance Regulation and Tracking via Lookahead Simulation: Preliminary Results and Validation
Y. Wardi, C. Seatzu, M. Egerstedt +1
This paper presents an approach to target tracking that is based on a variable-gain integrator and the Newton-Raphson method for finding zeros of a function. Its underscoring idea…
Safe Open-Loop Strategies for Handling Intermittent Communications in Multi-Robot Systems
Siddharth Mayya, Magnus Egerstedt
In multi-robot systems where a central decision maker is specifying the movement of each individual robot, a communication failure can severely impair the performance of the system…
Safe Certificate-Based Maneuvers for Teams of Quadrotors Using Differential Flatness
Li Wang, Aaron D. Ames, Magnus Egerstedt
Safety Barrier Certificates that ensure collision-free maneuvers for teams of differential flatness-based quadrotors are presented in this paper. Synthesized with control barrier f…