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AIGC demos filed by vertical — agents and LLMs doing real work, world models, AI-made games and design. Each clip carries its vertical and capability domain; pick a chip to narrow the feed.

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ACCRUE: Continual Off-Policy RL for Robot Foundation Models
1:00

ACCRUE: Continual Off-Policy RL for Robot Foundation Models

@cykim1006 · 209 views · 2026-10-14
Reinforcement LearningContinual learning
BRACE: Force- and Terrain-Aware Whole-Body Tracking for Humanoids
2:43

BRACE: Force- and Terrain-Aware Whole-Body Tracking for Humanoids

@sudarshan_s_h · 210 views · 2026-10-13
HumanoidWhole-Body Control
WB-WAM: Heterogeneous Body-Hand Pre-training for Humanoid Loco-Manipulation
0:18

WB-WAM: Heterogeneous Body-Hand Pre-training for Humanoid Loco-Manipulation

@ShaotingZ38103 · 200 views · 2026-10-14
HumanoidWorld Models
A MuJoCo Sim of a Unitree G1 Visualizes the Zero-Moment Point
0:29

A MuJoCo Sim of a Unitree G1 Visualizes the Zero-Moment Point

@AlloyRobotics · 177 views · 2026-10-14
Zero-Moment PointMuJoCo
SONIC Now Runs on Full-Size Humanoids: AgiBot A3 and UBTech Walker C1
0:08

SONIC Now Runs on Full-Size Humanoids: AgiBot A3 and UBTech Walker C1

@zhengyiluo · 185 views · 2026-10-14
SONICHumanoid
ASENA: A Coding Agent Programs a G1 to Fetch and Hand Over Objects
1:15

ASENA: A Coding Agent Programs a G1 to Fetch and Hand Over Objects

@anjjei · 203 views · 2026-10-14
ASENACoding Agent
Gemini 4 Argon Ties Opus 5.5 for SOTA on Real-Robot Manipulation
0:10

Gemini 4 Argon Ties Opus 5.5 for SOTA on Real-Robot Manipulation

@chooi_jeq · 300 views · 2026-10-14
RobocurveBenchmarks
PortSimEnv: An RL Environment for Live Port Berth Planning
1:00

PortSimEnv: An RL Environment for Live Port Berth Planning

@alacheng · 189 views · 2026-10-14
Reinforcement LearningSimulation
Multics: Multi-Player World Model Scaling to 10 Players
0:30

Multics: Multi-Player World Model Scaling to 10 Players

@XihuiLiu · 281 views · 2026-10-14
World ModelsVideo Generation
AlphaNIST: Chaining Ten Robotic Assemblies from Sparse Rewards
0:10

AlphaNIST: Chaining Ten Robotic Assemblies from Sparse Rewards

@mateoguaman · 252 views · 2026-10-13
AlphaNISTReinforcement Learning
Natura-1: 50B MoE Drives 20-DoF Dexterous Hands Zero-Shot From Plain Language
3:12

Natura-1: 50B MoE Drives 20-DoF Dexterous Hands Zero-Shot From Plain Language

@stingning · 282 views · 2026-10-13
HumanoidDexterous Hand
AlphaNIST: Binary Reward Plus Control Cost Hits 98.2% Sim Success
1:33

AlphaNIST: Binary Reward Plus Control Cost Hits 98.2% Sim Success

@octi_zhang · 241 views · 2026-10-13
Robotic ArmManipulation

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