7 citations · 21 across the 21 of their papers we have counts for
23 papers
Embodiment-conditioned Generalist Control for Multirotor Aerial Robots
Orestis Konstantaropoulos, Welf Rehberg, Mihir Kulkarni +1
We present a generalist position control policy capable of controlling arbitrary multirotor configurations of a certain rotor count (e.g., hexarotors or quadrotors) with a single s…
The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy
Mihir Dharmadhikari, Nikhil Khedekar, Mihir Kulkarni +7
We introduce and open-source the Unified Autonomy Stack, a system-level solution that enables resilient autonomy across diverse aerial and ground robot morphologies. The architectu…
Efficient Knowledge Transfer for Jump-Starting Control Policy Learning of Multirotors through Physics-Aware Neural Architectures
Welf Rehberg, Mihir Kulkarni, Philipp Weiss +1
Efficiently training control policies for robots is a major challenge that can greatly benefit from utilizing knowledge gained from training similar systems through cross-embodimen…
Reinforcement Learning for Active Perception in Autonomous Navigation
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
This paper addresses the challenge of active perception within autonomous navigation in complex, unknown environments. Revisiting the foundational principles of active perception,…
Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
NVIDIA, :, Mayank Mittal +104
We present Isaac Lab, the natural successor to Isaac Gym, which extends the paradigm of GPU-native robotics simulation into the era of large-scale multi-modal learning. Isaac Lab c…
Performance-guided Task-specific Optimization for Multirotor Design
Etor Arza, Welf Rehberg, Philipp Weiss +2
This paper introduces a methodology for task-specific design optimization of multirotor Micro Aerial Vehicles. By leveraging reinforcement learning, Bayesian optimization, and cova…
UniPilot: Enabling GPS-Denied Autonomy Across Embodiments
Mihir Kulkarni, Mihir Dharmadhikari, Nikhil Khedekar +4
This paper presents UniPilot, a compact hardware-software autonomy payload that can be integrated across diverse robot embodiments to enable autonomous operation in GPS-denied envi…
Semantically-driven Deep Reinforcement Learning for Inspection Path Planning
Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis
This paper introduces a novel semantics-aware inspection planning policy derived through deep reinforcement learning. Reflecting the fact that within autonomous informative path pl…
A Neural Network Mode for PX4 on Embedded Flight Controllers
Sindre M. Hegre, Welf Rehberg, Mihir Kulkarni +1
This paper contributes an open-sourced implementation of a neural-network based controller framework within the PX4 stack. We develop a custom module for inference on the microcont…
Aerial Gym Simulator: A Framework for Highly Parallelized Simulation of Aerial Robots
Mihir Kulkarni, Welf Rehberg, Kostas Alexis
This paper contributes the Aerial Gym Simulator, a highly parallelized, modular framework for simulation and rendering of arbitrary multirotor platforms based on NVIDIA Isaac Gym.…
Neural Control Barrier Functions for Safe Navigation
Marvin Harms, Mihir Kulkarni, Nikhil Khedekar +2
Autonomous robot navigation can be particularly demanding, especially when the surrounding environment is not known and safety of the robot is crucial. This work relates to the syn…
Maritime Vessel Tank Inspection using Aerial Robots: Experience from the field and dataset release
Mihir Dharmadhikari, Nikhil Khedekar, Paolo De Petris +3
This paper presents field results and lessons learned from the deployment of aerial robots inside ship ballast tanks. Vessel tanks including ballast tanks and cargo holds present d…
Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
This work contributes a novel deep navigation policy that enables collision-free flight of aerial robots based on a modular approach exploiting deep collision encoding and reinforc…
Aerial Field Robotics
Mihir Kulkarni, Brady Moon, Kostas Alexis +1
Aerial field robotics research represents the domain of study that aims to equip unmanned aerial vehicles - and as it pertains to this chapter, specifically Micro Aerial Vehicles (…
Autonomous Exploration and General Visual Inspection of Ship Ballast Water Tanks using Aerial Robots
Mihir Dharmadhikari, Paolo De Petris, Mihir Kulkarni +7
This paper presents a solution for the autonomous exploration and inspection of Ballast Water Tanks (BWTs) of marine vessels using aerial robots. Ballast tank compartments are crit…
Task-driven Compression for Collision Encoding based on Depth Images
Mihir Kulkarni, Kostas Alexis
This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to collision prediction for roboti…
Semantically-enhanced Deep Collision Prediction for Autonomous Navigation using Aerial Robots
Mihir Kulkarni, Huan Nguyen, Kostas Alexis
This paper contributes a novel and modularized learning-based method for aerial robots navigating cluttered environments containing hard-to-perceive thin obstacles without assuming…
Aerial Gym -- Isaac Gym Simulator for Aerial Robots
Mihir Kulkarni, Theodor J. L. Forgaard, Kostas Alexis
Developing learning-based methods for navigation of aerial robots is an intensive data-driven process that requires highly parallelized simulation. The full utilization of such sim…
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned
Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter +33
This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with…
RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration
Paolo De Petris, Huan Nguyen, Mihir Dharmadhikari +4
This work presents the design, hardware realization, autonomous exploration and object detection capabilities of RMF-Owl, a new collision-tolerant aerial robot tailored for resilie…
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge
Marco Tranzatto, Frank Mascarich, Lukas Bernreiter +38
Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy h…
Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots
Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto +10
This paper presents a novel strategy for autonomous teamed exploration of subterranean environments using legged and aerial robots. Tailored to the fact that subterranean settings,…
The Reconfigurable Aerial Robotic Chain: Shape and Motion Planning
Mihir Kulkarni, Huan Nguyen, Kostas Alexis
This paper presents the design concept, modeling and motion planning solution for the aerial robotic chain. This design represents a configurable robotic system of systems, consist…