Retrieving objects with voice: A new generation of assistive robots
summary
A compact Alexa-enabled service robot actually fetches and carries items (laundry baskets up to ~20–25 lbs), navigates homes with 3D stereo vision and augmented-reality SLAM running on edge processors (no cloud required), and uses simple bus stop waypoints to park beside beds or the washer. Six prototypes log ~18 months of combined in-home testing, pilot users average 3–4 uses per day (many 90+ uses/month), and NSF-supported work and a patent pending enable persistent mapping across lighting changes.
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chapters (25)
- 0:00Introduction
- 1:03Agenda
- 2:14Intro Video
- 8:14Getting the empathy
- 9:18Personal story
- 11:05Statistics
- 12:35Challenges
- 15:57Our background
- 18:29Our mission
- 19:41Robotics moving in a different direction
- 24:53Retr
- 25:21How it works
- 26:55Training and engagement
- 28:43The company Labrador
- 32:33Data analysis
- 37:03Nick Romanov
- 39:51What does it do
- 41:05Early prototype
- 42:12Augmented reality
- 45:53Inside the robot
- 47:11Software stack
- 48:53Retrieval
- 50:03Night testing
- 50:32Next steps
- 53:44Questions
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