Max Robotics — Global Service Robot Directory + US Certification

About

Jose Avalos is a robotics researcher whose work focuses on teleoperation, human-robot interaction, and motion planning. His key contributions lie in developing systems that enable intuitive, real-time control of robots using consumer-grade sensors. A standout achievement is his work on telepresence with the NAO robot and Kinect sensor (19 citations), where he created a methodology for motion imitation that goes beyond simple video transmission. He extended this approach to industrial platforms with his research on real-time teleoperation of the Baxter robot (8 citations), demonstrating how affordable motion capture can drive complex manipulators. Avalos also explores creative applications, such as an image-driven drawing system for NAO (4 citations), and technical optimization, including a method for generating minimum-time, smooth trajectories for robot manipulators (4 citations). His work on flexible, visually-driven object classification with Baxter (2 citations) further showcases his commitment to making robotic systems adaptive and sensor-responsive. Through these projects, Avalos has advanced the practicality of teleoperation and human-robot collaboration, bridging the gap between low-cost sensors and sophisticated robotic control.