Stop-Motion sequence of BostonDynamics Atlas robot failing a parkour jump
| |

Robotics+AI (Part 3) Exploration: Beyond Training Sets

We look at how Robotics+AI developers precipitate new learning by (a) pushing into real-world testing; (b) interactive complex tasking simulations for embodied agents; (c) live testing environments to test robot design limits. Scenario 1: Tesla tests its autopilot cars in the real-world’s infinite variables – though sometimes with tragic consequences.  (See my previous post) Scenario…

INTRINSIC dual robots
| |

Robotics+AI (Part 2) Development: Advanced task sensing, learning, adapting

This is Part 2 of 4 in a series on Robotics+AI :recent developments, and the surprising realities we grapple with. INTRINSIC (an Alphabet company) software and tools to make industrial robots easier to use, less costly, and more flexible, enabling new products, businesses and services. Why needed   The cost and complexity to program robots…

TDW Transport AI+Robotics Challenge for benchmarking, testing
| |

Robotics+AI (Part 1) Benchmarking: TDW Platform

Benchmarking is Part 1 of 4 in a series on Robotics+AI : recent developments, and the surprising realities we grapple with. The ThreeDWorld platform gives Robotics+AI developers a standardized virtual environment for training, benchmarking, and testing. Why needed: Duplicating the exact dynamics of the physical world is extremely difficult Safety and expense practicalities when training…

Cases #08 and #09: Bots to Enhance, Extend, or Restore
| | |

Cases #08 and #09: Bots to Enhance, Extend, or Restore

CASE #8: ORCAM: a handheld smart device that seamlessly reads text for people with visual or reading difficulties. CASE #9: SKYDIO: Autonomous drone can see, understand its complex surroundings; plan and fly a path avoiding obstacles in close-proximity. INSIGHT+OUTLOOK: Virtual reality and Robotics:I have a Need. I either bring the Value (of the object or…