Bruno Lara

About

Bruno Lara is a prominent researcher at the intersection of cognitive robotics, developmental robotics, and embodied artificial intelligence. His work fundamentally explores how autonomous agents — both robotic and simulated — can develop cognition through sensorimotor interaction with their environments, drawing rich inspiration from neuroscience and behavioral sciences. Lara's most influential contributions center on exploration behaviors and body representations in artificial agents, examining how motor development and cognitive growth are deeply intertwined processes (67 citations). His 2023 work on world models and predictive coding (63 citations) positions him at the cutting edge of modern cognitive and developmental robotics, addressing the grand challenge of creating robots capable of continuous autonomous learning. Earlier work on camera-space manipulation and robot positioning (23 citations) reflects his foundational expertise in robotic control systems. Particularly noteworthy is his pioneering research into robot ego-noise modeling — investigating how robots perceive the sounds of their own movement — advancing artificial agents' sense of agency and self-awareness. His coupled inverse-forward models for tool-use (21 citations) further demonstrate his commitment to biologically inspired computational architectures. Collectively, Lara's body of work, accumulating over 280 citations, represents a sustained and impactful effort to bridge neuroscience-inspired theory with practical robotic implementation, making him a valuable voice in embodied cognitive robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Exploration Behaviors, Body Representations, and Simulation Processes for the Development of Cognition in Artificial Agents

   67 citations · 2016
2. 2
   World models and predictive coding for cognitive and developmental robotics: frontiers and challenges

   63 citations · 2023
3. 3
   Robot Positioning Using Camera-Space Manipulation With a Linear Camera Model

   23 citations · 2010
4. 4
   Coupled inverse-forward models for action execution leading to tool-use in a humanoid robot

   21 citations · 2012
5. 5
   Automated robot-based screw insertion system

   21 citations · 2002
6. 6
   Body Representations for Robot Ego-Noise Modelling and Prediction. Towards the Development of a Sense of Agency in Artificial Agents

   20 citations · 2016
7. 7
   Embodied Cognitive Robotics and the learning of sensorimotor schemes

   18 citations · 2018
8. 8
   How do I sound like? forward models for robot ego-noise prediction

   18 citations · 2016
9. 9
   A Self-Organized Internal Models Architecture for Coding Sensory–Motor Schemes

   17 citations · 2016
10. 10
    Internal Simulations for Behaviour Selection and Recognition

    16 citations · 2012

Key Collaborators

Contact & Links