Bryan Convens

Bryan Convens serves as a Researcher in the Department of Applied Mechanics at Vrije Universiteit Brussel, specializing in advanced robotics control systems with emphasis on safety, real-time performance, and human-robot collaboration. His work bridges theoretical control theory with practical applications in aerial robotics, prosthetics, and industrial automation, supported by active leadership in multiple research projects.

Research interests focus on developing certified-safe control frameworks where Convens pioneers reference governor methodologies for constraint satisfaction in dynamic environments. His investigations span nonlinear model predictive control, learning-based adaptation for uncertainty handling, and energy-efficient actuation systems—particularly for prosthetic devices and multi-robot swarms. Current projects address resilient control under uncertainty (FWOTM1231), robotics adoption in industry (BRGRD68), and series-parallel elastic actuation for prosthetics (FWOSB33), demonstrating consistent innovation in safety-critical domains.

Scientific contributions reveal an evolving trajectory toward integrating machine learning with classical control theory to enhance data efficiency while maintaining safety guarantees. Recent publications emphasize real-time feasibility, human-robot collaboration constraints, and robust perception techniques—indicating strategic movement toward deployable solutions for industrial and medical robotics applications.

Scientific Awards

• Best Ph.D. thesis of 2023 by the Belgian National Committee for Theoretical and Applied Mechanics (NCTAM)
• FWO Travel Grant for Long Research Stay Abroad (2018)
• Public and jury prize: 2nd place (2020)

Convens directs significant research funding through competitive grants including FWOTM1231 (€ project value unstated, 2024-2027), BRGRD68 (Policy-Based project, 2022-2025), and FWOSB33 (Fundamental Research, 2017-2020), focusing on resilient aerial robotics, digital twin integration, and prosthetic energy efficiency. His grant portfolio demonstrates strong alignment with Flanders' strategic priorities in robotics and AI, with active industry partnerships through AI Flanders initiatives. Mentorship activities include supervising junior researchers in complex project environments, though formal student lists aren't documented.

He operates within VUB's robotics ecosystem through the Robotics & Multibody Mechanics research group, collaborating closely with Bram Vanderborght's team on actuation systems and Kelly Merckaert on safety frameworks. Current work leverages UWB/VIO sensor fusion and particle filtering techniques within active projects targeting 2025-2027 deliverables for multi-robot coordination in unstructured environments.