Results of tracking with combined visual and haptic noise. by Xiaoxiao Cheng (13888603)

“…The tracking error saturates in the initial solo trials, and increases with both visual and haptic noise during interactive trials. coactivation shows a slower decrease across trials. …”

LBM-based approach using synchronous transformation with a time step of 0.43s, PNGM-based method using asynchronous transformation with a 5s time step, VGA using explicit scheme wi... by Mouad Klai (20818364)

Average contact force and percentage of strong contact force under different conditions: (a) different particle shapes, (b) different particle sizes. by Yongfeng Zhu (7361045)

Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

Experimental setup under ablation experiments. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Obstacle uniform linear motion scenarios. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Analysis of the tangential force of the obstacle. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Table of values for <i>p.</i> by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Static obstacle avoidance scene setup. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

The schematic diagram of the region <i>O</i>₁. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Obstacle avoidance trajectory generation process based on DMP (for specific trajectory point data, please refer to the attachment ‘S5 Table.xlsx’. For detailed descriptions of the... by Long Di (9977453)

Static obstacle avoidance trajectory analysis (for specific trajectory point data, please refer to the attachment ‘S1 Table.xlsx’. For detailed descriptions of the data, please see... by Long Di (9977453)

Obstacle avoidance trajectory generation process based on the method in this paper (for specific trajectory point data, please refer to the attachment ‘S3 Table.xlsx’. For detailed... by Long Di (9977453)

Obstacle avoidance trajectory generation process based on iAPF (for specific trajectory point data, please refer to the attachment ‘S4 Table.xlsx’. For detailed descriptions of the... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors for obstacle uniform linear motion scenarios (for specific trajectory point data, please refer to the attachment ‘... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors in complex motion scenarios with obstacles (for specific trajectory point data, please refer to the attachment ‘S6... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors in obstacle accelerated motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7 T... by Long Di (9977453)

Obstacle avoidance trajectories and corresponding tracking errors in obstacle deceleration motion scenarios (for specific trajectory point data, please refer to the attachment ‘S7... by Long Di (9977453)

Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

“…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”

Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

“…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”