Dr Luis Figueredo

Dr Luis Figueredo

Profile

I am a Marie-SkÅ‚odowska Curie action research fellow at the School of Computing, University of Leeds.
Previously, I was a postdoctoral fellow at the Federal Univ. of Minas Gerais (UFMG), and a fixed-term lecturer at University of Brasilia (UnB) where I was invited to be a guest speaker at the Mech. Eng. Graduation.  
I received my PhD from UnB in 2016 and during the years 2013-2014, I worked at MERS in MIT where I had two robotic demonstrations awarded at international conferences: Outstanding System Demonstration – Honorable Mention at the ICAPS 2014 and Winner of Rethink Robotics Contest at the IROS 2014. My thesis was also awarded the Best PhD Thesis in Engineering for the year 2016. 

Research interests

Currently, I am engaged in the development of control and motion planning algorithms for human-robot collaborative manipulation tasks.

The main objective of such new development is to address the challenges inherent to a world where robotics is shifting towards human centred applications in increasingly less controlled scenarios. Teams of robots and humans will be expected to perform collaborative tasks involving a mixture of human and robot motion. In this scenario, in addition to new cooperative control and planning strategies, it is paramount for the robotic system to comprehend the human behaviour and motion involved with a given task in order to improve its reactiveness and flexibility during execution. My research aims exactly at providing the required tools for the robotic system such that the human-robot physical interaction is performed in a more fluid manner and the envisioned scenario and HRI tasks can be achieved. In this particular endeavour, I am working with Dr Mehmet Dogar and Prof Tony Cohn in order to integrate three components that are key to unfold the robot capabilities: cooperative control, physics-based motion and grasp planning and human activity recognition. 

I am also enthusiastic in contributing to the understanding and advancement of control and planning algorithms for cooperative robotics and human-robot interaction, particularly based on rigid body kinematics using unit dual quaternions framework. Finally, due to the multidimensional broad (and always interesting) nature of control and robotics, I have also devoted my research time to cooperative robotics, nonlinear time-delay and networked control systems, multi-agent control systems, path planning, and simultaneous localization and mapping (SLAM).