Norman Di Palo

Researcher, Google DeepMind

Joined

June 2021

Names

Norman Di Palo (Preferred)

Emails

****@ic.ac.uk (Confirmed)

Personal Links

Career & Education History

Researcher

Google DeepMind (google.com)

2024 – Present

PhD student

Imperial College London (ic.ac.uk)

2020 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Edward Johns

2020 – 2025

Expertise

Robot Learning

2020 – 2025

Publications

R+X: Retrieval and Execution from Everyday Human Videos
Georgios Papagiannis, Norman Di Palo, Pietro Vitiello, Edward Johns
- CoRL-X-Embodiment-WS 2024 Poster
- Readers: Everyone
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning
Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns
- IROS2022
- Readers: Everyone
R+X: Retrieval and Execution from Everyday Human Videos
Georgios Papagiannis, Norman Di Palo, Pietro Vitiello, Edward Johns
- DGR@RSS2024 Poster
- Readers: Everyone
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
Norman Di Palo, Edward Johns
- VLMNM 2024
- Readers: Everyone
Language Models as Zero-Shot Trajectory Generators
Teyun Kwon, Norman Di Palo, Edward Johns
- VLMNM 2024 Spotlight
- Readers: Everyone
Language Models as Zero-Shot Trajectory Generators
Teyun Kwon, Norman Di Palo, Edward Johns
- LangRob @ CoRL 2023 Poster
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- LangRob @ CoRL 2023 Poster
- Readers: Everyone
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Quan Vuong, Sergey Levine, Homer Rich Walke, Karl Pertsch, Anikait Singh, Ria Doshi, Charles Xu, Jianlan Luo, Liam Tan, Dhruv Shah, Chelsea Finn, Max Du, Moo Jin Kim, Alexander Khazatsky, Jonathan Heewon Yang, Tony Z. Zhao, Ken Goldberg, Ryan Hoque, Lawrence Yunliang Chen, Simeon Adebola et al. (154 additional authors not shown)
- CoRL 2023 Workshop TGR Oral
- Readers: Everyone
Towards A Unified Agent with Foundation Models
Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever, Markus Wulfmeier, Nicolas Heess, Martin Riedmiller
- Published: 03 Mar 2023, Last Modified: 19 Apr 2023
- RRL 2023 Oral
- Readers: Everyone
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Norman Di Palo, Edward Johns
- Published: 13 Sept 2021, Last Modified: 05 May 2023
- CoRL2021 Poster
- Readers: Everyone

Co-Authors

View all 181 co-authors