Papers
12
Total Citations
244
H-Index
8
About
Ricardo Tellez is a robotics researcher whose work spans humanoid robotics, service robots, evolutionary neural architectures, and cloud-based robot simulation. His most recognized contribution is the development of Reem-B, a lightweight autonomous humanoid robot created at PAL Robotics, designed to coexist with and assist humans in everyday environments — a paper that has garnered 56 citations and remains a foundational reference in service robotics. His early work on evolving locomotion behaviors in quadruped robots and cooperative multi-agent control demonstrated a strong foundation in biologically inspired and distributed neural approaches to robot behavior. Tellez has also made significant strides in cognitive architectures for service robots, enabling humanoids to interpret natural language commands and execute complex tasks through modular skill sets including navigation, grasping, and person recognition. His research on autonomous humanoid navigation using laser and odometry-based SLAM further highlights his systems-level thinking. More recently, he has pioneered accessible robotics education through cloud-based simulation platforms, arguing compellingly that scalable virtual environments can democratize robotics learning. His work on Ambient Assisted Living underscores a consistent humanitarian motivation — building robots that meaningfully improve human lives across healthcare and domestic settings.
Research Focus
Key Achievements
Top Papers
- 1Reem-B: An autonomous lightweight human-size humanoid robot56 citations · 2008
- 2Aibo and Webots: Simulation, wireless remote control and controller transfer53 citations · 2006
- 3
- 4Using a cognitive architecture for general purpose service robot control29 citations · 2015
- 5
- 6Autonomous humanoid navigation using laser and odometry data15 citations · 2008
- 7Evaluating the use of robots to enlarge AAL services114 citations · 2015
- 8
- 9Cloud Simulations for RoboCup5 citations · 2018
- 10