See and Switch: Vision-Based Branching for Interactive Robot-Skill Programming
See and Switch: Vision-Based Branching for Interactive Robot-Skill Programming explores See & Switch enables intuitive robot programming via vision-based branching, allowing for efficient in-situ recovery demonstrations and conditional task execution, validated by user studies and code release.. Commercial viability score: 8/10 in Robotics.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisAdapt as You Say: Online Interactive Bimanual Skill Adaptation via Human Language FeedbackViability: 7.0
- Builds On ThisSee, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic ManipulationViability: 7.0
- Builds On ThisConcurrent Prehensile and Nonprehensile Manipulation: A Practical Approach to Multi-Stage Dexterous TasksViability: 7.0
- Builds On ThisBAT: Balancing Agility and Stability via Online Policy Switching for Long-Horizon Whole-Body Humanoid ControlViability: 7.0
- Prior Work
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)