# Dieter Fox

热门播客单集
已更新:

54 - Simulating Action Dynamics with Neural Process Networks, with Antoine Bosselut

ICLR 2018 paper, by Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, and Yejin Choi. This is not your standard NLP task. This work tries to predict which entities change state over the course of a recipe (e.g., ingredients get combined into a batter, so entities merge, and th...

ep.222: 100/100 Computer Vision Challenge, with Dieter Fox

In this episode, Audrow Nash interviews Dieter Fox, Professor in the Department of Computer Science and Engineering at the University of Washington, about the 100/100 Computer Vision Tracking Challenge. This is a self-imposed challenge to understand 100% of the pixels in an image 100% of the tim...

CVPR 2023, highlight paper - Learning Human-to-Robot Handovers from Point Clouds

In this episode we discuss Learning Human-to-Robot Handovers from Point Clouds by Sammy Christen, Wei Yang, Claudia Pérez-D'Arpino, Otmar Hilliges, Dieter Fox, Yu-Wei Chao. The paper proposes the first framework to teach robots how to perform vision-based human-to-robot handovers, a crucial t...

SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation

[00:00] Introduction [00:20] Core limitations in robot manipulation: challenges with RL and IL [01:08] SPIRE's hybrid approach: combining task planning with learning methods [01:44] TAMP-gated learning: selective application of learned policies [02:20] Training innovations: warm-starting RL a...

Ep 103 | Why Robotics Hasn't Had Its ChatGPT Moment Yet (w/ Jiafei Duan)

Dr. Jiafei Duan is a Presidential Young Professor at the ⁨National University of Singapore (NUS), Director of the MAGIC Lab (Manipulation and General Intelligence Control), and Research Scientist at A*STAR. Formerly a researcher at UW and the Allen Institute for AI (Ai2), Jiafei co-led the open-...

Ep#106: Flex-π: A Multi-Stream World-Action Model with Compute Flexibility

World Action Models are becoming more popular in robotics, as they learn to predict the world jointly with learning how to act on it. However, these world predictions are usually purely based on reconstructing color images from video. This is limiting, because color is far from the most important...