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Robotics AI models
Browse the complete list of Robotics AI models. Compare specifications, benchmark scores and provider pricing on GenAIList.
Gen-0
๐บ๐ธ Generalist
NVIDIA Isaac GR00T N1.6
๐บ๐ธ NVIDIA
Gemini Robotics 1.5
๐บ๐ธ Google DeepMind
MolmoAct-7B-D
๐บ๐ธ Allen Institute for AI
Redwood AI
๐บ๐ธ 1X
NVIDIA Isaac GR00T N1.5 3B
๐บ๐ธ NVIDIA
ฯ0.5 (pi-0.5)
๐บ๐ธ Physical Intelligence
GR00T N1 2B
๐บ๐ธ NVIDIA
Gemini Robotics
๐บ๐ธ Google DeepMind
Gemini Robotics-ER
๐บ๐ธ Google DeepMind
Baigong (็พๅทฅ)
๐จ๐ณ "Shanghai Lingyi Artificial Intelligence Technology Co.
Helix
๐บ๐ธ Figure AI
HAMSTER VLM
๐บ๐ธ NVIDIA
ฯ0 (pi-zero)
๐บ๐ธ Physical Intelligence
RDT-1B
๐จ๐ณ Tsinghua University
GR-2
๐จ๐ณ ByteDance
1X World Model
๐บ๐ธ 1X
Demostart (in progress)
๐บ๐ธ Google DeepMind
ALOHA Unleashed
๐บ๐ธ Google DeepMind
Table Tennis Agent
๐บ๐ธ Google DeepMind
NIO World Model (่ๆฅๅคงๆจกๅ)
๐จ๐ณ NIO
Zhizhe Qianwen (ๆบ่ ๅ้ฎๅคง่ฏญ่จๆจกๅ)
๐จ๐ณ "Beijing Zhijing Yunchuang Technology Co.
OpenVLA
๐บ๐ธ Stanford University
Octo-Base
๐บ๐ธ University of California (UC) Berkeley
Octo-Small
๐บ๐ธ University of California (UC) Berkeley
Soccer Robot
๐บ๐ธ Google DeepMind
ManiGaussian
๐จ๐ณ Tsinghua University
RFM-1
๐บ๐ธ Covariant
Humanoid Locomotion
๐บ๐ธ University of California (UC) Berkeley
Xingrui AI (ๆ็ฟAI)
๐จ๐ณ Geely Automobile Research Institute (Ningbo) Company
RT-1 + AutoRT
๐บ๐ธ Google DeepMind
SARA-RT-2
๐บ๐ธ Google DeepMind
RT-Trajectory
๐บ๐ธ Google DeepMind
RT-2-X
๐บ๐ธ Google DeepMind
Robot Parkour
๐บ๐ธ Shanghai Qi Zhi institute
Swift
๐บ๐ธ Intel Labs
CALM
๐บ๐ธ NVIDIA
RT-2
๐บ๐ธ Google DeepMind
RoboCat
๐บ๐ธ Google DeepMind
Agile Soccer Robot
๐บ๐ธ Google DeepMind
PaLM-E
๐บ๐ธ Google
RT-1
๐บ๐ธ Google
PaLM-SayCan
๐บ๐ธ Google
ASE
๐บ๐ธ NVIDIA
6-Act Tether
๐บ๐ธ Facebook AI Research
SemExp
๐บ๐ธ Carnegie Mellon University (CMU)
DD-PPO
๐บ๐ธ Georgia Institute of Technology
Rubik's cube ADR robot
๐บ๐ธ OpenAI
Walking Minotaur robot
๐บ๐ธ University of California (UC) Berkeley
Dexterous In-Hand Manipulation [control policy]
๐บ๐ธ OpenAI
QT-Opt
๐บ๐ธ Google Brain
Deep Deterministic Policy Gradients
๐บ๐ธ Google DeepMind
Vision-based obstacle avoidance system (2005)
๐บ๐ธ New York University (NYU)
Q-learning
๐ฌ๐ง University of London
ASE+ACE
๐บ๐ธ University of Massachusetts Amherst
Heuristic Reinforcement Learning
๐บ๐ธ Purdue University
STeLLA
๐ณ๐ฟ University of Canterbury
Theseus
๐บ๐ธ Bell Laboratories
About Robotics AI models
This page lists every Robotics AI models tracked on GenAIList. When choosing a model, weigh raw capability against practical constraints like context window, latency, licensing and price. Open-weights and open-source models can be self-hosted and fine-tuned, while proprietary models often lead on raw quality. Compare benchmark scores on our benchmarks page and put two candidates head to head with compare.
Frequently asked questions
How do I choose the right model?
Weigh raw capability against practical constraints like context window, latency, licensing and price. Use the benchmarks page to compare rankings and the compare tool to evaluate two candidates side by side.
Where can I see benchmark scores?
Visit the benchmarks page to compare these models on standardised tests, then use the compare tool for a detailed side-by-side of any two models.