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Pushpak Jagtap

4 papers indexed

arxivcs.ROeess.SY2026-07-11

From Non-Rigid to Rigid: Safe Acquisition of Rigid Communication Graphs under Limited Sensing

S. Saharsh, Vedhas Talnikar, Pushpak Jagtap

Communication graph rigidity is a fundamental requirement in many multi robot formation control approaches. However, ensuring and maintaining a rigid communication topology becomes challenging in practice due to limited sensing ranges and dynamic operating conditions. This paper…

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arxiveess.SYcs.RO2026-07-09

Input-Constrained Spatiotemporal Tubes for Safe Navigation of Unknown Euler-Lagrange Systems in Dynamic Environments

Siddhartha Upadhyay, Ratnangshu Das, Pushpak Jagtap

Safe navigation in dynamic environments is challenging when system dynamics are unknown and actuator inputs are limited. Existing methods either rely on accurate models, require online optimization, or do not explicitly account for input constraints. This paper presents a real-ti…

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arxivcs.RO2026-07-08

Learning Spatiotemporal Tubes for Full Class of Signal Temporal Logic Tasks for Control of Unknown Systems under Input Constraints

Ahan Basu, Ratnangshu Das, Soumyodipta Nath, Siyuan Liu, Pushpak Jagtap

This paper presents a Spatiotemporal Tube (STT)-based control framework for general unknown nonlinear Euler-Lagrange (EL) systems subject to input constraints, with the objective of satisfying Signal Temporal Logic (STL) specifications, where confinement of the system trajectory…

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arxivcs.ROeess.SY2026-07-01

Learning from Demonstration via Spatiotemporal Tubes for Unknown Euler-Lagrange Systems

Ratnangshu Das, Puneeth Shankar, Varuni Buereddy, Ravi Prakash, Pushpak Jagtap

We present STT-LfD, a unified Learning from Demonstration (LfD) framework that integrates motion learning with control for unknown Euler-Lagrange systems. Unlike traditional decoupled approaches that track a fixed reference, the proposed method treats demonstrations as a data-dri…

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