... through direct compensation of relative errors. To achieve this, a novel calibration-driven transfer learning method is proposed for relative error prediction in dual-robot systems. Design/methodology/approach A novel local product of exponential (POE) model with minimal parameters is proposed...

... Licensed re-use rights only Robotics Reinforcement learning Obstacle avoidance Transfer learning Human–robot interaction Real-time active collision avoidance is mainly composed of three parts (Flacco et al., 2012): 1) environment perception; 2) collision avoidance; and 3) robot...

... conversion and local feature extraction. Findings The experimental results show the effectiveness and practicability of the proposed method. Compared with the ordinary method, the proposed method gets much better metrics. Originality/value The originality is the transfer learning strategy that fine...