Jean-Baptiste Braconnier

Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

Papers

Total Citations

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About

Jean-Baptiste Braconnier is a leading researcher in mobile robotics, specializing in adaptive control systems for autonomous navigation in challenging environments. His work focuses on ensuring path tracking stability and formation regulation for mobile robot fleets operating in off-road and harsh conditions—a critical area for applications in agriculture, search-and-rescue, and military logistics. His most cited paper, "Ensuring path tracking stability of mobile robots in harsh conditions: An adaptive and predictive velocity control" (2014, 6 citations), introduces a novel control algorithm that maintains trajectory accuracy even when ideal on-road assumptions fail, addressing a key gap in existing path-tracking literature. Building on this, his 2013 study on "Adaptive and predictive control of a mobile robots fleet: Application to off-road formation regulation" (5 citations) extends these principles to multi-robot coordination, enabling stable formation driving in rugged terrains. Though his citation counts are modest, Braconnier’s contributions are foundational for practical deployment of mobile robots beyond structured environments. His work, developed within the IRSTEA Ecotechnologies department, bridges theoretical control theory with real-world off-road challenges, making him a notable figure in adaptive robotics for extreme conditions.