collaborators

11 papers

cs.RO2026

[Preprint] Dynamic Modeling, Gait Synthesis, and Control of a Novel Subsurface Bore Propagator

Lina van Brügge, Shruti Kotpalliwar, Anton Koval +2

In this article, we present dynamic modeling, gait synthesis, and feedback control design for a modular novel subsurface robot, designed for human-free subsurface exploration and e…

cs.RO2026

SubTGraph: Large-Scale Subterranean Environment Synthesis with Controllable Topological Variability for Robotic Autonomy Validation

F. Labra Caso, A. Saradagi, S. Fredriksson +3

Subterranean (SubT) environments have been a frontier for autonomous robotics, driven by the push for automation of mining operations and the interest in planetary exploration (Mar…

cs.RO2026

Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments

Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +2

This paper addresses the problem of using a deep Reinforcement Learning (RL)-based low-level Quadrotor controller within an autonomous Quadrotor navigation stack for aerial inspect…

cs.RO2026

A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions

Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +1

Reinforcement learning (RL)-based quadrotor control policies have achieved impressive performance in tasks such as fast navigation in cluttered environments and drone racing, where…

cs.RO2026

Fast Expanding Safe Circular Regions for Efficient Local Path Planning

Scott Fredriksson, Akshit Saradagi, George Nikolakopoulos

Local navigation is one of the fundamental problems in robot navigation, and numerous approaches have been proposed over the years, including methods such as the Dynamic Window App…

cs.RO2026

Reactive Robot-Centric Safety for Autonomous Navigation in Constrained and Dynamic Environments

Viswa Narayanan Sankaranarayanan, Vignesh K. Viswanathan, Akshit Saradagi +2

In this work, we address the problem of ensuring real-time safety in autonomous robot navigation, in spatially constrained dynamic environments, by utilizing only onboard sensors.…