most citedFrontier Shepherding: A Bio-inspired Multi-robot Framework for Large-Scale Exploration

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

PINGU: Extending Air-Bearing Spacecraft Emulators with Open-Source Actuators and Learned Control for Contact-Rich Proximity Operations

Ricard Marsal I Castan, Akiyoshi Uchida, Aman Arora +7

Low-cost planar air-bearing testbeds have matured into a standard proxy for free-flying spacecraft GNC, but they remain largely thruster-only and are rarely equipped for contact-ri…

cs.RO2026

FALCON-S: Fixed-wing ground-effect Aerodynamics Simulator and Flight Control Learning Suite

Matteo El Hariry, Pedro Lima, Andrej Orsula +2

We present a modular, high-fidelity simulation framework for the development and benchmarking of flight control strategies in fixed-wing aerial robots operating near the ground. Un…

cs.RO2026

Asymptotically-Bounded 3D Frontier Exploration enhanced with Bayesian Information Gain

John Lewis, Meysam Basiri, Pedro U. Lima

Robotic exploration in large-scale environments is computationally demanding due to the high overhead of processing extensive frontiers. This article presents an OctoMap-based fron…

cs.RO2026

Enhancing Multi-Robot Exploration Using Probabilistic Frontier Prioritization with Dirichlet Process Gaussian Mixtures

John Lewis Devassy, Meysam Basiri, Mário A. T. Figueiredo +1

Multi-agent autonomous exploration is essential for applications such as environmental monitoring, search and rescue, and industrial-scale surveillance. However, effective coordina…

cs.RO2024★ 4 cited

Frontier Shepherding: A Bio-inspired Multi-robot Framework for Large-Scale Exploration

John Lewis, Meysam Basiri, Pedro U. Lima

Efficient exploration of large-scale environments remains a critical challenge in robotics, with applications ranging from environmental monitoring to search and rescue operations.…