Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto

by Robot Talk

16 May 2025

share this:

Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments.

Lerrel Pinto is an Assistant Professor of Computer Science at New York University (NYU). His research is aimed at getting robots to generalize and adapt in the messy world we live in. His lab focuses broadly on robot learning and decision making, with an emphasis on large-scale learning (both data and models); representation learning for sensory data; developing algorithms to model actions and behaviour; reinforcement learning for adapting to new scenarios; and building open-source, affordable robots.

Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines.

Mars rovers serve as scientists’ eyes and ears from millions of miles away – here are the tools Perseverance used to spot a potential sign of anci

The Conversation 02 Oct 2025

How do scientists engage with rover data and use robots such as Perseverance?

Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto

Related posts :

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

What’s coming up at #IROS2025?

From sea to space, this robot is on a roll

Robot Talk Episode 128 – Making microrobots move, with Ali K. Hoshiar

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

Women in robotics you need to know about 2025

Robot Talk Episode 127 – Robots exploring other planets, with Frances Zhu

Mars rovers serve as scientists’ eyes and ears from millions of miles away – here are the tools Perseverance used to spot a potential sign of anci

↑

Would you like to learn how to tell impactful stories about your robot or AI system?