Publications

2023

1. 

   Scalable Distributed Controller Synthesis for Multi-Agent Systems Using Barrier Functions and Symbolic Control

   Jeel. Chatrola, Sundarsingh. DS, Jay. Bhagiya, Adnane. Saoud, and 2 more authors

   62nd Conference on Decision and Control (CDC) , Dec 2023

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   In this paper, we propose a computationally efficient symbolic controller synthesis technique for multi-agent systems. The paper focuses on synthesizing distributed controllers enforcing local temporal logic specifications along with global safety specifications for multi-agent systems. To solve the problem in a computationally efficient way we leverage the concept of control barrier functions. In particular, we use a three-step bottom-up approach: first, the symbolic controllers for individual agents are synthesized to enforce local temporal logic specifications, then we use a notion of control barrier functions for symbolic models to compose controlled agent systems by removing unsafe transitions, and finally, we synthesize controller for the reduced composed system to ensure the satisfaction of local temporal logic specifications while ensuring global safety specification. The effectiveness of our approach is demonstrated on a multi-robot system by comparing it with the conventional monolithic symbolic control approach

2. 

   Autonomous Exploration using Ground Robots with Safety Guarantees

   Jeel. Chatrola, Sundarsingh. DS, Jay. Bhagiya, and Pushpak. Jagtap

   IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Oct 2023

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   Autonomous exploration in an unknown environment is widely studied and many exploration strategies exist. However, most of the works jeopardize the safety of the robot, the environment or both. The reason behind the violation of safety by most of the exploration algorithms in real-world applications is the ignorance of the following factors (i) the dynamics and dimensions of the robot, (ii) practical constraints on states (like constrained steering angle) and inputs (like actuator saturation), and (iii) hardware constraints such as sampling time, sensor noise, modelling uncertainties, etc. In this work, we propose an autonomous exploration framework for the 2-D exploration problem that considers the factors above to provide safety guarantees for the robot and the environment. The effectiveness of this method is shown in a high-fidelity simulation of different robots with onboard sensors in different simulation environments and real-world implementation.

2022

1. 

   Funnel-based Reachability Control of Unknown Nonlinear Systems using Gaussian Processes

   Jeel. Chatrola, Sandeep. Gorantla, Jay. Bhagiya, and Pushpak. Jagtap

   8th Indian Control Conference (ICC) , Dec 2022

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   This paper aims to synthesize a reachability controller for an unknown dynamical system. We first learn the unknown system using Gaussian processes and the (probabilistic) guarantee on the learned model. Then we use the funnel-based controller synthesis approach using this approximated dynamical system to design the controller for a reachability specification. Finally, the merits of the proposed method are shown using a numerical example