Max Robotics — Global Service Robot Directory + US Certification

About

Arturo de la Escalera is a prominent robotics researcher whose work spans autonomous navigation, multi-robot systems, and intelligent vehicles. Based at a leading Spanish research institution, he has made substantial contributions to the fields of path planning, mobile robotics, and unmanned aerial vehicles over more than two decades. His most influential work, "Trajectory Planning for Multi-Robot Systems: Methods and Applications" (2021, 235 citations), has become a key reference in coordinated autonomous systems research. This builds on his earlier foundational study integrating Time Elastic Band path planning into ROS-based autonomous vehicle platforms (2018, 166 citations), demonstrating his ability to bridge theoretical methods with real-world implementation. His contributions extend back to 2002, when his genetic algorithm approach to mobile robot localization using ultrasonic sensors (104 citations) showcased his early pioneering thinking. De la Escalera has also advanced UAV swarm coordination for emergency response and wilderness search-and-rescue missions, reflecting a strong commitment to socially impactful robotics applications. His work on sensor fusion for off-road navigation and the IVVI intelligent vehicle platform further illustrates the breadth of his expertise. With hundreds of citations across diverse subfields, he remains a significant and versatile voice in modern autonomous systems research.