Samuel Arseneault

Papers

Total Citations

H-Index

About

Samuel Arseneault is a robotics researcher whose work focuses on multi-robot systems, autonomous exploration, and risk-aware decision-making in unknown environments. His most notable contribution, the DORA (Distributed Online Risk-Aware Explorer) framework, addresses the critical challenge of enabling robot teams to efficiently and safely explore uncharted terrain. By distributing intelligence across multiple agents, DORA enhances both coverage and system robustness, allowing groups of robots to adaptively assess and mitigate risks in real time—a significant advancement over single-robot approaches. This work, published in 2022 and garnering 6 citations, has already influenced subsequent studies in distributed autonomy and field robotics. Arseneault’s research bridges theoretical planning algorithms with practical deployment considerations, offering scalable solutions for applications ranging from search-and-rescue to planetary exploration. His contributions underscore the potential of collaborative robotics to outperform solitary systems, particularly in hazardous or unpredictable settings. For students and researchers, Arseneault’s work exemplifies how integrating risk awareness into multi-agent coordination can push the boundaries of autonomous exploration, making robotic teams more resilient and effective in the wild.