ABB Files Patent for Method and Control System to Automatically Plan Optimized Robot Trajectories
Time:2026-05-21 Browse: 0
Lead: ABB Switzerland has filed a patent for a method and control system that automatically plans optimized trajectories for robotic devices, ensuring safety and operational efficiency. The patent, titled “Method for Automatically Planning Optimized Trajectories for Robot Devices and Robot Control System for Robot Devices”, was filed in June 2023 and published as CN121335782A by the China National Intellectual Property Administration (CNIPA).
Patent Overview
The patented technology focuses on generating safe and optimized robot motion paths:
Safety integration: The system obtains safety-related information from a safety controller, including defined safety zones and movement conditions that the robot must adhere to during operation.
Optimization parameters: Robot motion-related target parameters are collected to guide the optimization of robot operations.
Trajectory planning: A motion planner module generates optimized trajectories by combining safety constraints and operational objectives, ensuring the robot’s movements are both efficient and compliant with safety requirements.
Outcome: The resulting trajectories define optimized robot motion while respecting all safety conditions and operational goals.
Significance
Enhanced operational efficiency: Robots can automatically determine optimal paths for tasks, reducing cycle time and energy consumption.
Safety assurance: Integration of real-time safety data ensures compliance with safety zones and operational constraints.
Adaptive robotics: The method allows dynamic adjustment of robot trajectories based on both safety and performance requirements.
Industry Implications
This innovation demonstrates ABB’s continued focus on intelligent robotics and automation. By combining safety constraints with optimization objectives, the technology enables more efficient, reliable, and autonomous robot operations across manufacturing and industrial environments. The approach can accelerate adoption of smart robotic systems that are both high-performing and compliant with rigorous safety standards.
