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David St-Onge

8 accepted papers

2026

Scalable Multi-Agent Reinforcement Learning Framework for Multi-Machine Tending

RA-L 2026

Robotic manipulators hold significant untapped potential for manufacturing industries, particularly when deployed in multi-robot configurations that can enhance resource utilization, increase throughput, and reduce costs. However, industrial manipulators typically operate in isolated one-robot, one-

Cited by 0SourceScholar
2026

Scalable Multi-Agent Reinforcement Learning Framework for Multi-Machine Tending

ICRA 2026poster

Robotic manipulators hold significant untapped potential for manufacturing industries, particularly when deployed in multi-robot configurations that can enhance resource utilization, increase throughput, and reduce costs. However, industrial manipulators typically operate in isolated one-robot, one-…

Cited by 0SourceScholar
2025

GNN-Based Decentralized Perception in Multi-Robot Systems for Predicting Worker Actions

RA-L 2025

In industrial environments, predicting human actions is essential for ensuring safe and effective collaboration between humans and robots. This paper introduces a perception framework that enables mobile robots to understand and share information about human actions in a decentralized way. The frame

Cited by 3SourceScholar
2020

Swarm Relays: Distributed Self-Healing Ground-and-Air Connectivity Chains

RA-L 2020

The coordination of robot swarms - large decentralized teams of robots - generally relies on robust and efficient inter-robot communication. Maintaining communication between robots is particularly challenging in field deployments where robot motion, unstructured environments, limited computational

Cited by 36SourceScholar
2018

Circle Formation with Computation-Free Robots Shows Emergent Behavioural Structure

IROS 2018poster

In this paper, we demonstrate how behavioural structure, such as a finite state machine, can emerge in minimal robots without computation nor memory capabilities. As a case study we observe the ability of a group of non-holonomic robots to form robust, self-healing circle formations in a decentraliz…

Cited by 25SourceScholar
2018

Lightweight Collision Avoidance for Resource-Constrained Robots

IROS 2018poster

One of the safest and most reliable strategies for vehicle's collision avoidance is embedded control at low level to guarantee safe motion in all situations using on-board sensors. In this paper, we propose a novel lightweight collision avoidance strategy that can be implemented as a low level motio…

Cited by 10SourceScholar