ScienceToStartup
TrendsTopicsSavedArticlesChangelogCareersAbout

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
All systems operational

Product

  • Dashboard
  • Workspace
  • Build Loop
  • Research Map
  • Trends
  • Topics
  • Articles

Enterprise

  • TTO Dashboard
  • Scout Reports
  • RFP Marketplace
  • API

Resources

  • All Resources
  • Benchmark
  • Database
  • Dataset
  • Calculator
  • Glossary
  • State Reports
  • Industry Index
  • Directory
  • Templates
  • Alternatives
  • Changelog
  • FAQ
  • Docs

Company

  • About
  • Careers
  • For Media
  • Privacy Policy
  • Legal
  • Contact

Community

  • Open Source
  • Community
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy Policy|Legal
  1. Home
  2. Signal Canvas
  3. Cooperative-Competitive Team Play of Real-World Craft Robots
← Back to Paper

Cooperative-Competitive Team Play of Real-World Craft Robots

Stale15d ago
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: stale

Source paper: Cooperative-Competitive Team Play of Real-World Craft Robots

PDF: https://arxiv.org/pdf/2602.21119v1

Source count: 0

Coverage: 33%

Last proof check: 2026-03-19T18:48:05.835Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Cooperative-Competitive Team Play of Real-World Craft Robots

Overall score: 6/10
Lineage: 639ddf25f01a…
Cmd/Ctrl+K
Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-03-19T18:48:05.835Z

Freshness: stale

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 33%

Missingness
  • - repo_url
  • - references
  • - distribution_readiness_scores
  • - paper_extraction_scorecards
Unknowns
  • - distribution readiness has not been computed yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Starting…

Dimensions overall score 6.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Claim extraction is still pending for this paper. Check back after the next analysis run.

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Keep exploring

Higher Viability
CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control
Score 8.0up
Higher Viability
Accelerating Robotic Reinforcement Learning with Agent Guidance
Score 7.0up
Higher Viability
World-Gymnast: Training Robots with Reinforcement Learning in a World Model
Score 7.0up
Higher Viability
Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning
Score 7.0up
Higher Viability
COHORT: Hybrid RL for Collaborative Large DNN Inference on Multi-Robot Systems Under Real-Time Constraints
Score 7.0up
Higher Viability
A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agents
Score 7.0up
Higher Viability
RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
Score 8.0up
Higher Viability
From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning
Score 7.0up

Startup potential card

Startup potential card preview
Share on XLinkedIn

Related Resources

  • assistive robotics(glossary)
  • How does Multi-Graph Search improve robotics?(question)
  • What is the impact of AI on robotics?(question)
  • Why is quick iteration important in robotics?(question)
  • Robotics – Use Cases(use_case)
  • Robotics and Automation – Use Cases(use_case)

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Recommended Stack

FastAPIBackend
PyTorchML Framework
TensorFlowML Framework
JAXML Framework
KerasML Framework

Startup Essentials

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

Firebase

Google Backend

Hugging Face Hub

ML Model Hub

Banana.dev

GPU Inference

Antigravity

AI Agent IDE

MVP Investment

$9K - $12K
6-10 weeks
Engineering
$8,000
Cloud Hosting
$240
SaaS Stack
$300
Domain & Legal
$100

6mo ROI

2-4x

3yr ROI

10-20x

Lightweight AI tools can reach profitability quickly. At $500/mo average contract, 20 customers = $10K MRR by 6mo, 200+ by 3yr.

Talent Scout

R

Rui Zhao

Tencent Robotics X Laboratory

X

Xihui Li

Tencent Robotics X Laboratory

Y

Yizheng Zhang

Tencent Robotics X Laboratory

Y

Yuzhen Liu

Tencent Robotics X Laboratory

Find Similar Experts

robotics experts on LinkedIn & GitHub