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šŸ¤– General Trajectory - A Foundation Model for Humanoid Robots

Reward-guided imitation learning for dexterous manipulation

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YC · launched Jan 5, 2026 · 15 upvotes (top 68%) · 0 views

Niche: robotics software and platforms · 195 launches, 9 in the last 7 days ▼ -36% · Explore this niche →

Category and tags

  • Horizontal
  • Hardware & robotics
  • B2B
  • AI-native
  • Commercial product
  • Robotics
  • AI

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Could you build this?

No Training foundation models for humanoid robotic manipulation using reward-guided imitation learning demands advanced robotics physics simulation and physical hardware testing.

What it would actually take: Requires specialized robotics and reinforcement learning scientists using Isaac Sim or MuJoCo for massive parallel physics simulations, combined with teleoperation datasets collected on physical humanoid hardware. The stack involves low-level ROS2 motor control interfaces, spatial foundation models (such as ACT or diffusion policy), and custom hardware-in-the-loop validation benches.

Competitors

Other products that read as similar to this one : 2173 launches clear the similarity bar, closest 8 shown.

Attention rank: #1418 of 2174 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 68 days after the earliest competitor.

  • lingbot-touch · github · 2026-11-09 · 483 upvotes · similarity 0.72
  • Demo2Skill · github · 2026-09-17 · 9 upvotes · similarity 0.70
  • OMEGA-0 · github · 2026-09-29 · 45 upvotes · similarity 0.69
  • FIBER · github · 2026-10-20 · 12 upvotes · similarity 0.69
  • Motus2 · github · 2026-09-11 · 35 upvotes · similarity 0.69
  • BiGym2 · github · 2026-10-08 · 34 upvotes · similarity 0.68
  • OmniContact · github · 2026-10-04 · 13 upvotes · similarity 0.67
  • EgoHumanoid-V2 · github · 2026-10-08 · 54 upvotes · similarity 0.67

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