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arXiv 2024年

作者： Li, Xiaoyu Liu, Dedong Wu, Yitao Wu, Xian Zhao, Lijun Gao, Jinghan State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150006 China

3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception. However, current 3D trackers face issues with accuracy and latency consistency. In this paper, we propose Fast-Poly, a fast and effective filter-based method for 3D MOT. Building upon our previous work Poly-MOT, Fast-Poly addresses object rotational anisotropy in 3D space, enhances local computation densification, and leverages parallelization technique, improving inference speed and precision. Fast-Poly is extensively tested on two large-scale tracking benchmarks with Python implementation. On the nuScenes dataset, FastPoly achieves new state-of-the-art performance with 75.8% AMOTA among all methods and can run at 34.2 FPS on a personal CPU. On the Waymo dataset, Fast-Poly exhibits competitive accuracy with 63.6% MOTA and impressive inference speed (35.5 FPS). The source code is publicly available at https://***/lixiaoyu2000/FastPoly. © 2024, CC BY-NC-SA.

关键词： Object detection

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An Efficient Planner for Dual-Arm Massage Robots in Constrained state

An Efficient Planner for Dual-Arm Massage Robots in Constrai...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Xu, Yuan Wang, Wenxiao Zhou, Lechuan Guo, Weichao Sheng, Xinjun Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai200240 China Shanghai Jiao Tong University Meta Robotics Institute Shanghai200240 China

ISBN: (纸本)9781665481090

Dual-arm massage robots necessitate reaching the massage pose along an optimal collision-free path in constrained state, where traditional path planning methods often exhibit inefficiency. This paper proposes a sampling-based planning algorithm that integrates lazy evaluation, transition testing, and bidirectional Rapidly-exploring Random Tree to reduce computational load, enhance planning efficiency, and improve the planner's ability to effectively explore the state space, avoid local minima, and converge to high-quality solutions. Comparative experiments conducted on a simulation platform across multiple algorithms have demonstrated the efficacy of the proposed planner, achieving a 95 % planning success rate within 1 second. The paths generated by the algorithm exhibit superior quality and enhanced consistency. In summary, the proposed algorithm is capable of producing asymptotically optimal, collision-free paths for a dual-arm massage robot. © 2024 IEEE.

关键词： Robot programming

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Transformer-Enhanced Motion Planner: Attention-Guided Sampling for state-Specific Decision Making

arXiv

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arXiv 2024年

作者： Zhuang, Lei Zhao, Jingdong Li, Yuntao Xu, Zichun Zhao, Liangliang Liu, Hong The State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

Sampling-based motion planning (SBMP) algorithms are renowned for their robust global search capabilities. However, the inherent randomness in their sampling mechanisms often result in inconsistent path quality and limited search efficiency. In response to these challenges, this work proposes a novel deep learning-based motion planning framework, named Transformer-Enhanced Motion Planner (TEMP), which synergizes an Environmental Information Semantic Encoder (EISE) with a Motion Planning Transformer (MPT). EISE converts environmental data into semantic environmental information (SEI), providing MPT with an enriched environmental comprehension. MPT leverages an attention mechanism to dynamically recalibrate its focus on SEI, task objectives, and historical planning data, refining the sampling node generation. To demonstrate the capabilities of TEMP, we train our model using a dataset comprised of planning results produced by the RRT*. EISE and MPT are collaboratively trained, enabling EISE to autonomously learn and extract patterns from environmental data, thereby forming semantic representations that MPT could more effectively interpret and utilize for motion planning. Subsequently, we conducted a systematic evaluation of TEMP's efficacy across diverse task dimensions, which demonstrates that TEMP achieves exceptional performance metrics and a heightened degree of generalizability compared to state-of-the-art SBMPs. Copyright © 2024, The Authors. All rights reserved.

关键词： Motion planning

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Enhancing Household Service Robots with a Dual-Arm Mobile Manipulator and Multimodal Large Language Models

Enhancing Household Service Robots with a Dual-Arm Mobile Ma...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Liu, Yang Zhao, Yanchao Guo, Weichao Sheng, Xinjun Ding, Han School of Mechanical Engineering Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration Shanghai200240 China Meta Robotics Institute Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781665481090

This research aims to enhance the practicality of household service robots by integrating multimodal large language models (MLLMs). Utilizing a dual-arm mobile manipulator platform, our focus is on advancing autonomous mobile manipulation in home environments. By leveraging the advanced text understanding and visual processing capabilities inherent in MLLMs, the proposed system adeptly converts user dialogues and environmental visual inputs into precise robotic plans. Among the suite of tested models, GPT-4o mini and Gemini 1.5 flash perform exceptionally well in generating accurate robotic plans. These results underscore a significant enhancement in the robot's ability to manipulate objects within complex home environments, thereby contributing to more seamless human-robot interactions and markedly improved task execution. We anticipate that our findings will inspire future advances in the field of human-robot interaction for home robots. © 2024 IEEE.

关键词： Human robot interaction

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Optimization method for operation configuration of space manipulator for on-orbit assembly 24

Optimization method for operation configuration of space man...

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4th International Conference on Control and Intelligent robotics, ICCIR 2024

作者： Li, Mengfei Liu, Yang Feng, Weichao Cao, Baoshi Xie, Zongwu Xie, Yuteng Li, Chongyang Guo, Chuangqiang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China School of Resources and Environment Northeast Agricultural University Harbin150006 China Agile Robots Beijing Beijing100192 China

ISBN: (纸本)9798400709937

Aiming at the insertion requirements of large space structures during the on-orbit assembly process, a redundant manipulator operation configuration selection method using joint angle variation as a performance evaluation index is proposed, which achieves operation configuration optimization among multiple sets of inverse solutions. At the same time, the risk of collision during installation is reduced. Firstly, the joint angle parameterization method is used to solve all feasible solutions of the redundant manipulator. Then, trapezoidal velocity planning is employed to analyse the operation configuration after the end effector of the manipulator moves a certain distance in different directions of the coordinate system, and the joint weight coefficient is introduced to calculate the weighted value of the angle variation. Finally, select the operation configuration corresponding to the minimum weighted value as the initial configuration for the manipulator. The calculation results show that this method can select an effective solution that satisfies the posture constraints from multiple sets of inverse solutions, giving full play to the redundant characteristics of the SSRMS-type manipulator and ensuring the safety and reliability of the on-orbit assembly process. © 2024 Copyright held by the owner/author(s).

关键词： Inverse kinematics

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Robot Design of Frogs Jumping Based on Soft-Body Detonation Drive

SSRN

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SSRN 2023年

作者： Xu, Weibin Pan, Yitao Ma, Weiliang Gao, Feng Liu, Gangfeng Zhao, Jie Fan, Jizhuang Harbin China State Key Laboratory of Robotics and System China

To achieve a strong instantaneous burst jumping ability, a soft body detonation actuator is proposed by combining the advantages of silicone materials and the characteristics of hydrogen and oxygen mixed gas detonation, which can not only enable the robot to exert the superior movement characteristics of the hindlimbs of frogs during jumping but also make its hindlimb structure more dexterous, lightweight and simple. At the same time, a spring-based forelimb mechanism is also designed so that the robot has the function of jumping with multiple attitude angle changes and the function of smooth buffer landing when jumping. Then, the kinematics and jumping efficiency models are established by using the D-H parameter method and geometric method and verified to analyze the optimal jump-out efficiency. Finally, the experimental results prove that the robot can not only achieve 6 consecutive jumps with a single jump reaching a height of 0.6 m and a distance exceeding 1.2 m, but can also easily cross a rectangular obstacle that has a length of 40 cm, a width of 30 cm, and a height of 25 cm. © 2023, The Authors. All rights reserved.

关键词： Robots

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Semi-Autonomous Navigation Based on Local Semantic Map for Mobile Robot

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Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 27-33页

作者： ZHAO Yanfei XIAO Peng WANG Jingchuan GUO Rui Department of Automation Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240China State Grid Intelligence Technology Co. Ltd.Jinan250013China

Mobile robots represented by smart wheelchairs can assist elderly people with mobility *** paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots,which can assist users to implement accurate navigation(e.g.,docking)in the environment without prior *** order to overcome the problem of repeated oscillations during the docking of traditional local path planning algorithms,this paper adopts a mode-switching method and uses feedback control to perform docking when approaching semantic *** last,comparative experiments were carried out in the real *** show that our method is superior in terms of safety,comfort and docking accuracy.

关键词： semi-autonomous navigation mobile robot semantic map voice interaction

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4D printing of direct-driven deformable wheel with multiple programmable configurations

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International Journal of Extreme Manufacturing 2025年第3期7卷 369-381页

作者： Huichun Tian Guanghao Chu Bin Zhou Dekai Zhou Jing Qiao Longqiu Li State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001People’s Republic of China Avic Shenyang Aircraft Corporation Shenyang 110850People’s Republic of China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001People’s Republic of China Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhouHenan 450000People’s Republic of China

Conventional deformable wheel systems in robots and other mechatronic systems face significant challenges in achieving miniaturization,intelligence,and *** address these issues,we propose a novel integrated structural design method and four-dimensional printing strategy for deformable wheels capable of shaping among multiple programmable direct-driven deformation *** load-bearing capacity of the printed wheel is strengthened by employing deformed components in various locations and actuated ***,a novel analytical design method is presented to determine the structure,actuation,and deformation parameters of each component under complex coupled *** findings reveal that the designed wheel can transform into three different configurations,exhibiting desired deformations of 12.5%in the radial direction and 19.6%in the axial *** also demonstrates robust deformation behavior and structural stability under multi-directional *** integrating a terrain sensing system,the designed wheel exhibits highly adaptive deformation capabilities on various terrains,showing great potential for exploring complex environments.

关键词： 4D printing deformable wheel continuous fiber multifunctional structure system integration

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WSC-Trans: A CNN-Transformer Structure-Based 3D Multi-Structural Automatic Segmentation Model for Temporal Bone CT

WSC-Trans: A CNN-Transformer Structure-Based 3D Multi-Struct...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Hua, Xin Ma, Jixin Yu, Hongjian Du, Zhijiang Zheng, Fanjun Zhang, Chen Lu, Qiaohui Zhao, Hui Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China The 6th Medical Center Chinese Pla General Hospital Senior Department of Otolaryngology Head and Neck Surgery Beijing China

ISBN: (纸本)9798350386226

Cochlear implantation is the most effective treatment for severe deafness, which requires accurate localization of temporal bone anatomy. Preoperative CT image segmentation is an essential technique to determine the location of relevant tissues in the temporal bone. However, manual segmentation is usually time-consuming and suffers from low accuracy due to the complex and small structures of these tissues in temporal bone CT. To address this issue, we proposed a CNN-Transformer structure-based 3D multi-structured model for the automatic segmentation of fine and complex tissues such as the cochlea, facial nerve, ossicles, vestibule and semicircular canal in the temporal bone CT. Our model adopts a new Transformer deformation structure, which effectively utilizes the spatial attention mechanism to capture feature dependencies, and uses the channel attention mechanism to fuse different channel semantic representations to improve segmentation accuracy. Extensive experiments on a private temporal bone CT dataset show that our model achieves higher DSS and JSS scores, and lower HD95 and ASSD scores for all targets compared with other existing segmentation methods, demonstrating its superior performance. © 2024 IEEE.

关键词： Computerized tomography

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A Collision Avoidance Path Planning Method for 7-DOF Space Manipulator

A Collision Avoidance Path Planning Method for 7-DOF Space M...

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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023

作者： Han, Xu Yang, Guocai Jin, Minghe Wang, Qi Harbin Institute of Technology State Key Laboratory of Robotics and System Heilong Jiang Harbin China Military Representative Office of the Equipment Department of the Aerospace Systems Department Changchun China

ISBN: (纸本)9798350325706

This paper proposes a collision avoidance path planning approach for redundant robotic arms based on the RRT algorithm. The study focuses on a 7-DOF robotic arm with an SSRMS configuration. The method involves improved RRT-based path planning in configuration space (C-space) and collision detection in Cartesian space. The results of collision detection are employed to guide the path planning process. Emulating the SSRMS configuration robotic arm, a kinematic model is established. By enhancing the RRT algorithm with the following points: probabilistic sampling towards the target configuration, guided exploration near existing tree nodes, parent node reassignment for new nodes, and the adoption of a bidirectional searching tree, the randomness of sampling is reduced and the planning process is accelerated. By continuously mapping points on the surface of the arm to both the base coordinate system and the self-collision coordinate system, collision detection and self-collision detection are performed in the Cartesian space using a combination of surface equations and projection methods. Finally, a series of simulation experiments were conducted to analyze the impact of various parameters, different obstacles and different methods on the planning process. This validation confirmed the feasibility and effectiveness of the approach. © 2023 IEEE.

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