Welcome to my website!
Leonel Rozo
Research scientist @ Bosch center for AI
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I love machine learning and robotics!
When I started my studies in Colombia, I got excited about how the future in AI and robotics would look like. Passion, endurance and great mentors have led me to work on what I love: research the intersection of machine learning and robotics. I envision a world where smart robots augment our capabilities at physical, cognitive and social levels! Robots that can easily assist, help, and empower people in a large diversity of scenarios and tasks. To make this dream come true, I spend my days working on machine learning tools that allow robots to naturally and smartly interact with their environment and humans. Day by day, I hit the books and investigate machine learning methods, robot control, differential geometry and optimization. |
News and updates!
[October, 2022] We will be organising a tutorial on Riemannian manifolds applied in robot learning, optimization a control at IROS2022. I am so happy to organize this with very smart colleagues who are very passionate about leveraging differential geometry in different robotics domains!
[September, 2022] CoRL news! We got a paper and a very cool workshop accepted! The paper is about “Learning Stable Dynamical Systems on Riemannian Manifolds”, and our workshop is gonna be about “inductive bias in robot learning”. More details soon!
[July, 2022] IROS news! Akshay, our former master student, just got his paper on “Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints” accepted in IROS 2022! This paper summarizes very cool results from Akshay’s master thesis carried out at BCAI.
[March, 2022] New members in our team! Jiechao Zhang and Miguel Gonzalez just joined us to work on a couple of cool projects involving Riemannian manifolds and robot learning, stay tuned!
[September, 2022] CoRL news! We got a paper and a very cool workshop accepted! The paper is about “Learning Stable Dynamical Systems on Riemannian Manifolds”, and our workshop is gonna be about “inductive bias in robot learning”. More details soon!
[July, 2022] IROS news! Akshay, our former master student, just got his paper on “Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints” accepted in IROS 2022! This paper summarizes very cool results from Akshay’s master thesis carried out at BCAI.
[March, 2022] New members in our team! Jiechao Zhang and Miguel Gonzalez just joined us to work on a couple of cool projects involving Riemannian manifolds and robot learning, stay tuned!
