Max Robotics — Global Service Robot Directory + US Certification

About

Mark Roberts is a leading researcher in goal reasoning (GR) and human-robot interaction, with a focus on enabling robots to dynamically select and refine their own objectives. His most influential work, "Iterative Goal Refinement for Robotics" (2014, 13 citations), introduces a framework where robots iteratively adjust goals based on constraints and unexpected events—a foundational contribution to autonomous decision-making. Roberts has also advanced multi-robot coordination, as seen in "Coordinating Robot Teams for Disaster Relief" (2015, 9 citations), which combines reactive control with deliberative planning using Linear Temporal Logic. More recently, he has pioneered end-user programming (EUP) for robots, publishing "Goal-Oriented End-User Programming of Robots" (2024, 7 citations) and contributing to human-robot interaction specification languages. His work bridges the gap between expert-level autonomy and accessible user control, with applications in caregiving and disaster response. Roberts also co-organized the 2018 AAAI Fall Symposium on AI for social impact, reflecting his commitment to translating research into real-world solutions. With a growing citation footprint, his research continues to shape how robots reason, collaborate, and interact with people.