Robotics
12 researchers · 7 papers · 7 projects · 7 builders
Researchers (12)
Jitendra Malik
UC Berkeley
196,000 citations · h-index 134
Chelsea Finn
Stanford University
117,781 citations · h-index 82
Pieter Abbeel
UC Berkeley / Covariant
76,697 citations · h-index 124
Daniela Rus
MIT CSAIL
65,000 citations · h-index 108
Sergey Levine
UC Berkeley
63,215 citations · h-index 110
Vladlen Koltun
Apple
55,000 citations · h-index 72
Raquel Urtasun
Waabi / University of Toronto
52,000 citations · h-index 78
Abhinav Gupta
Carnegie Mellon University
45,000 citations · h-index 72
Silvio Savarese
Salesforce AI Research
42,000 citations · h-index 72
Karol Hausman
Google DeepMind / Stanford
16,000 citations · h-index 40
Jiajun Wu
Stanford University
16,000 citations · h-index 42
Dorsa Sadigh
Stanford University
10,000 citations · h-index 38
Papers (7)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
SayCan: Grounding Language in Robotic Affordances
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
Liquid Time-constant Networks
Projects (7)
Covariant Brain
Universal AI for robotic manipulation. The Covariant Brain enables robots to pick, place, and handle novel objects in real-world warehouse and logistics settings.
by Peter Chen
Neurala Brain Builder
Edge AI platform for visual inspection and anomaly detection. Lifelong-learning neural networks that improve in production without retraining from scratch.
by Marc Pare
Mighty AI (acquired by Uber)
Training data platform for autonomous vehicles. Computer vision annotation at scale for self-driving cars. Acquired by Uber ATG in 2019.
by Max Friedman
DeepMind Robotics Research
Pioneering continual learning and sim-to-real transfer for embodied agents. Research on navigation, manipulation, and lifelong learning.
by Raia Hadsell
openpilot
Open-source self-driving system by comma.ai. Runs on supported cars with a $200 device. 10,000+ users driving daily.
by George Hotz
Liquid Neural Networks
Open-source implementation of Liquid Time-Constant networks — continuous-time neural networks inspired by biological neurons.
by Mathias Lechner
Liquid Foundation Models
Compact, efficient foundation models built on Liquid Neural Networks. State-space models that outperform transformers at smaller sizes.
by Ramin Hasani