Nuno Lau

About

Nuno Lau is a prominent robotics researcher whose work spans autonomous systems, multi-robot coordination, humanoid locomotion, and assistive technologies. Based at the University of Aveiro, Portugal, he has made significant contributions to the field of intelligent robotics, particularly through his leadership of the CAMBADA robotic soccer team competing in the RoboCup Middle-Size League. His pioneering coordination frameworks, which leverage dynamic role assignment, flexible positioning, and information sharing among robot teammates, have become influential references in multi-agent systems research, accumulating over 40 citations. Lau's work in humanoid robotics is equally compelling, with research into bipedal walking using Fourier series representations and reinforcement learning approaches that enable robots to learn complex locomotion skills from scratch — work that has resonated strongly with the deep learning community. His contributions extend into computer vision, notably a widely adopted general framework for hand-eye calibration. Beyond performance robotics, his survey on intelligent wheelchair prototypes reflects a commitment to socially impactful technology, garnering 70 citations as a key reference in assistive robotics. Together, his body of work represents a rich integration of learning, coordination, and embodied intelligence, establishing him as a versatile and influential voice in modern robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   A Survey on Intelligent Wheelchair Prototypes and Simulators

   70 citations · 2014
2. 2
   ROBOT 2017: Third Iberian Robotics Conference

   54 citations · 2017
3. 3
   Multi-robot team coordination through roles, positionings and coordinated procedures

   40 citations · 2009
4. 4
   Machine Learning algorithms applied to the classification of robotic soccer formations and opponent teams

   38 citations · 2010
5. 5
   Learning to Run Faster in a Humanoid Robot Soccer Environment Through Reinforcement Learning

   37 citations · 2019
6. 6
   A General Approach to Hand–Eye Calibration Through the Optimization of Atomic Transformations

   36 citations · 2021
7. 7
   Learning low level skills from scratch for humanoid robot soccer using deep reinforcement learning

   31 citations · 2019
8. 8
   Automatic Generation of Biped Walk Behavior Using Genetic Algorithms

   31 citations · 2009
9. 9
   Multi-robot coordination using Setplays in the middle-size and simulation leagues

   30 citations · 2010
10. 10
    Biped Walking Using Coronal and Sagittal Movements Based on Truncated Fourier Series

    26 citations · 2011

Key Collaborators

Contact & Links