Fusion of Sensors and Robot
summary
A robotics stack built as an LF Edge/Akraino blueprint combines a Sensor-rich Soft End-effector System (soft polymer grippers + multi-sensor modules) with an RCPS pipeline (MSM → PDH → Cloud) to collect force/contact/location data, run AI analysis and close the feedback loop; a demo shows autonomous object localization and grasping of varied shapes. A lightweight on-board ASR runs on one Atom core at <50 W and recognizes ~20 safety/operation keywords in noisy robot environments. Releases 6→7 add cloud analysis libraries and ASR as OSS.
AI-written summary · about
chapters (17)
- 0:00Intro
- 1:04Self introduction
- 3:17Industrial Revolutions
- 11:06R-CPS (Reconstructable basic system for Cyber Physical System)
- 15:58Activity in LF Edge Akraino project
- 16:44CPS Robot Blueprint family overview
- 17:50Robot basic architecture based on SSES Blueprint
- 19:23Basic data processing and analysis software Fujitsu
- 20:20Robot Blueprint activities in future
- 24:30Potential at the Edge
- 28:08Edge Lifecycle Flow
- 28:47Edge Service Enabling Platform
- 30:05Driving Principles
- 31:29Interaction
- 32:24Automation
- 33:39Open Community
- 34:40Concept Demo
related talks
18mRobotics: why now?
57mThe Convergence of Robotics, the Web, and IoT
29mBridging AI & Robotics: Exploring the LeRobot Library
28mBuild smart robots and operate them easily with AWS Robotics
08mThe Open Robotics Lab: Data, Hardware, Agents
48mBuilding Robotics Applications at Scale using Open Source from Zero to Hero
30mRobot Operating System (ROS): current and future capabilities on embedded systems
14mReliability Engineering for Hybrid Robot-Cloud Systems