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20202026
most citedDeadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions

4 citations · 10 across the 22 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.SY2023★ 1 cited

Neural Differentiable Integral Control Barrier Functions for Unknown Nonlinear Systems with Input Constraints

Vrushabh Zinage, Rohan Chandra, Efstathios Bakolas

In this paper, we propose a deep learning based control synthesis framework for fast and online computation of controllers that guarantees the safety of general nonlinear control s…

eess.SY2023

Disturbance Observer-based Robust Integral Control Barrier Functions for Nonlinear Systems with High Relative Degree

Vrushabh Zinage, Rohan Chandra, Efstathios Bakolas

In this paper, we consider the problem of safe control synthesis of general controlled nonlinear systems in the presence of bounded additive disturbances. Towards this aim, we firs…

cs.RO2023★ 4 cited

Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions

Rohan Chandra, Vrushabh Zinage, Efstathios Bakolas +2

We present an approach to ensure safe and deadlock-free navigation for decentralized multi-robot systems operating in constrained environments, including doorways and intersections…

cs.RO2023

Optimal Sampling-based Motion Planning in Gaussian Belief Space for Minimum Sensing Navigation

Vrushabh Zinage, Ali Reza Pedram, Takashi Tanaka

In this paper, we consider the motion planning problem in Gaussian belief space for minimum sensing navigation. Despite the extensive use of sampling-based algorithms and their rig…

eess.SY2023

Semi-global Exponential Stability for Dual Quaternion Based Rigid-Body Tracking Control

Vrushabh Zinage, S P Arjun Ram, Maruthi R. Akella +1

Semi-Global Exponential Stability (SGES) is proved for the combined attitude and position rigid body motion tracking problem, which was previously only known to be asymptotically s…