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reflex

Reflex: Visually Grounded Reactive Humanoid Control (code coming soon)

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This is 1 of 105 launches in robotics simulation and motion control — see how it stacks up on momentum and crowding →

942 other launches read as similar to this one →

Details

External ID
1411195897
Source
GITHUB
Company
—
Product
reflex
Website domain
github.io
Launched
Oct. 9, 2026
Cohort
—
Upvotes
26
Upvotes percentile
0.53
Tags
catching, humanoid, reinforcement-learning, robot-learning, sim-to-real, whole-body-control

Enrichment

Niche
robotics simulation and motion control
Vertical
Horizontal
Function
Hardware & robotics
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
vision-based reactive controller for humanoid robots
Manually corrected
False

Could you build this?

No Reflex is an advanced robotics and machine learning research project involving real-time whole-body reactive humanoid control and egocentric RGB-D visual policy training.

What it would actually take: A reproduction requires a physical bipedal robot (such as the Unitree G1), deep reinforcement learning frameworks (Isaac Gym/Sim), and latency-critical onboard inference pipelines. The hard parts are sim-to-real transfer, low-latency trajectory inference under 1 second, and physical dynamics modeling. This requires an experienced team of robotics researchers and control systems engineers.

Competitors

Other products that read as similar to this one — 942 launches clear the similarity bar, closest 8 shown.

Attention rank: #434 of 943 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 343 days after the earliest competitor.

Other launches for this product