Multi-Level Map Construction for Dynamic Scenes
Multi-level mapping for visual SLAM in dynamic scenes, building static dense point cloud, octree, plane and object maps using semantic detection, DBSCAN and data association.
Multi-level mapping for visual SLAM in dynamic scenes, building static dense point cloud, octree, plane and object maps using semantic detection, DBSCAN and data association.
C-5000 welding tongs alignment guide: procedures to rotate electrodes, adjust sliding and fixed electrode positions, safety steps and component references.
Survey of humanoid robots and embodied intelligence: AI large-models, perception-to-action, market demand from labor shortages, technical barriers and practical breakthrough directions.
Technical overview of robotic vacuum design, covering locomotion, sensor system, control, cleaning subsystems and path planning for autonomous coverage.
Explains relationships among industrial robots, PLCs and automation, covering robot controllers, PLC roles, motion control challenges, and integration in production lines.
Overview of Oki flexible cable movement modes (bending, linear, twisting), detailed bending/linear/torsion test results, and guidance on torsion cables and cable selection.
KUKA KR C5 robot controller overview and step-by-step procedure to replace the external 60 GB SSD, including shutdown, front-door access, and SSD removal steps.
Overview of SLAM fundamentals, core steps (perception, localization, mapping) and implementation methods, focusing on probabilistic SLAM and Bayesian estimation challenges.
Overview of ABB programming commands: using Proccall to invoke routines from the teach pendant and the stop instruction to halt program execution.
Technical guide to KUKA safety signals, covering Profisafe, CIP-Safety and X11 connector wiring, dual-channel assignments and X11 pin mappings for KR C4 cabinets.
Technical overview of YOLOv7 architecture, describing core modules, training vs deploy REP re-parameterization, and design choices for efficient object detection.
Detailed implementation of the Transformer model covering architecture, self-attention, multi-head attention, positional encoding, masking, feed-forward networks.