Manas Sashank Juvvi — accepted AI-conference papers

2025

Signal Temporal Logic Compliant Co-design of Planning and Control

Manas Sashank Juvvi, Tushar Dilip Kurne, Vaishnavi J, Shishir Kolathaya, Pushpak Jagtap

IROS 2025

This work presents a novel co-design strategy that integrates trajectory planning and control to handle STL-based tasks in autonomous robots. The method consists of two phases: (i) learning spatio-temporal motion primitives to encapsulate the inherent robot-specific constraints and (ii) constructing

Cited by 1 Source ↗Scholar ↗

2024

Safe Multi-Robot Exploration using Symbolic Control

Manas Sashank Juvvi, David Smith Sundarsingh, Ratnangshu Das, Pushpak Jagtap

ICRA 2024poster

Multi-robot exploration is a complex problem that involves multiple robots working in a shared unknown environment. In such scenarios, the safety of the robots is of paramount importance alongside the completion of the exploration task. In this paper, we propose a modular exploration framework that…

Cited by 0 Source ↗Scholar ↗