Media Summary: In this AI Research Roundup episode, Alex discusses the paper: ' Bridging the simulation-to-reality gap in autonomous racing, RLPP uses a novel hybrid approach. By combining a traditional Pure ... Authors: Teyun Kwon, Norman Di Palo, and Edward Johns Institution: The Robot Learning Lab at Imperial College London ...

Rdt2 Zero Shot Generalization For - Detailed Analysis & Overview

In this AI Research Roundup episode, Alex discusses the paper: ' Bridging the simulation-to-reality gap in autonomous racing, RLPP uses a novel hybrid approach. By combining a traditional Pure ... Authors: Teyun Kwon, Norman Di Palo, and Edward Johns Institution: The Robot Learning Lab at Imperial College London ... This video synthesizes groundbreaking robotics research from 29 papers published on October 21, 2025, revealing four major ... In the last decade, data-driven approaches have become popular choices for quadrotor control, thanks to their ability to facilitate ... First Tech Challenge FTC Multinational Tech Invitational Decode 2026 Robot Reveal Thank you to our sponsors: Gene Haas ...

The video shows a theoretical problem in computer science and a solution for it. It is presented as a riddle, but note it's not easy to ... The Future of RDG: A (Not So Serious) Look Ahead Which robotic path planning method did I use in ROS2? Subdivide A was a 150g overhead attack combat robot that's proved itself in the arena, so time to make it nine times bigger.

Photo Gallery

RDT2: Zero-Shot Generalization for Any Robot
RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization (Feb
RSS 2021, Spotlight Talk 64: Error-Aware Policy Learning: Zero-Shot Generalization in Partially...
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms
Language Models as Zero-Shot Trajectory Generators
Robot Revolution: Zero-Shot Learning & Underwater Autonomy (Oct 21, 2025)
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction
The Power of Input: Benchmarking Zero-Shot Sim-to-Real Transfer of Reinforcement Learning Control
23435 Gyrobotic Droids 2026 MTI Robot Reveal
[Laser] Firing squad synchronization problem
The Future of RDG: A (Not So Serious) Look Ahead
DQN Supported RRT Algoritms for ROS2 (learned states)
View Detailed Profile
RDT2: Zero-Shot Generalization for Any Robot

RDT2: Zero-Shot Generalization for Any Robot

In this AI Research Roundup episode, Alex discusses the paper: '

RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization (Feb

RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization (Feb

Title:

RSS 2021, Spotlight Talk 64: Error-Aware Policy Learning: Zero-Shot Generalization in Partially...

RSS 2021, Spotlight Talk 64: Error-Aware Policy Learning: Zero-Shot Generalization in Partially...

Error-Aware Policy Learning:

RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms

RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms

Bridging the simulation-to-reality gap in autonomous racing, RLPP uses a novel hybrid approach. By combining a traditional Pure ...

Language Models as Zero-Shot Trajectory Generators

Language Models as Zero-Shot Trajectory Generators

Authors: Teyun Kwon, Norman Di Palo, and Edward Johns Institution: The Robot Learning Lab at Imperial College London ...

Robot Revolution: Zero-Shot Learning & Underwater Autonomy (Oct 21, 2025)

Robot Revolution: Zero-Shot Learning & Underwater Autonomy (Oct 21, 2025)

This video synthesizes groundbreaking robotics research from 29 papers published on October 21, 2025, revealing four major ...

RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction

RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction

RAZER: Robust Accelerated

The Power of Input: Benchmarking Zero-Shot Sim-to-Real Transfer of Reinforcement Learning Control

The Power of Input: Benchmarking Zero-Shot Sim-to-Real Transfer of Reinforcement Learning Control

In the last decade, data-driven approaches have become popular choices for quadrotor control, thanks to their ability to facilitate ...

23435 Gyrobotic Droids 2026 MTI Robot Reveal

23435 Gyrobotic Droids 2026 MTI Robot Reveal

First Tech Challenge FTC Multinational Tech Invitational Decode 2026 Robot Reveal Thank you to our sponsors: Gene Haas ...

[Laser] Firing squad synchronization problem

[Laser] Firing squad synchronization problem

The video shows a theoretical problem in computer science and a solution for it. It is presented as a riddle, but note it's not easy to ...

The Future of RDG: A (Not So Serious) Look Ahead

The Future of RDG: A (Not So Serious) Look Ahead

The Future of RDG: A (Not So Serious) Look Ahead

DQN Supported RRT Algoritms for ROS2 (learned states)

DQN Supported RRT Algoritms for ROS2 (learned states)

Which robotic path planning method did I use in ROS2?

Scaling Up My Scariest Combat Robot Yet - Subdivide B at RH7

Scaling Up My Scariest Combat Robot Yet - Subdivide B at RH7

Subdivide A was a 150g overhead attack combat robot that's proved itself in the arena, so time to make it nine times bigger.