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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Tengfei Pei Ying Jin Hai Yu Yongchun Fang Jianda Han Xiao Liang Tianjin Key Laboratory of Intelligent Robotics Institute of Robotics and Automatic Information System College of Artificial Intelligence Nankai University Tianjin China Engineering Research Center of Trusted Behavior Intelligence Ministry of Education Nankai University Tianjin China

Trajectory planning has been an important research area for quadrotor transportation systems for a long time. However, generating feasible trajectories in real-time that allow quadrotor transportation systems to navigate safely in complex environments remains a challenging issue. This article proposes an efficient gradient-based safety constraint that helps keep the system away from obstacles. Furthermore, this paper combines safety constraint with a novel B-spline-based optimization method that utilizes an improved hybrid-state A* algorithm for path searching to generate desired trajectory. Strategies to speed up path searching and unconstrained optimization problem constructed in B-spline optimization guarantee the computational efficiency. The feasibility of the resulting trajectory has been verified through simulation.

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Disturbance Compensation Based Sliding Mode Control for Aerial Soft Manipulator system

Disturbance Compensation Based Sliding Mode Control for Aeri...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Ying Jin Tengfei Pei Hai Yu Zhaopeng Zhang Jianda Han Xiao Liang Tianjin Key Laboratory of Intelligent Robotics Institute of Robotics and Automatic Information System College of Artificial Intelligence Nankai University Tianjin China Ministry of Education Engineering Research Center of Trusted Behavior Intelligence Nankai University Tianjin China

Aerial manipulation is an emerging area of research that is experiencing rapid growth and has immense potential across various domains, including precision agriculture, construction, and search and rescue operations. The combination of quadrotor with manipulation capabilities can provide access to remote or hazardous areas, precise control over tasks, and increased efficiency and safety in operations. However, traditional aerial manipulation platforms equipped with rigid manipulators have such drawbacks greater weight and less safety. Consequently, a novel complaint aerial manipulation system is considered to be developed. In this paper, a novel structure of an aerial manipulation platform with a single-section continuum manipulator is developed. In order to address the center-of-mass displacement resulting from manipulator movements, a sliding mode controller is introduced as a means to ensure the quadrotor's flight remains smooth. Afterward, the Lyapunov theorem is employed to ensure stability of the entire closed-loop system. Subsequently, numerical simulations are carried out to showcase the superior performance of the proposed control scheme in comparison to the PD controller.

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IMPROVING LATERAL SAFETY DISTANCE-BASED ON FEATURE DETECTION AND PRM FOR UNMANNED VEHICLE PATH PLANNING

IMPROVING LATERAL SAFETY DISTANCE-BASED ON FEATURE DETECTION...

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2022 International Conference on Computer, Artificial Intelligence, and Control engineering, CAICE 2022

作者： Wang, Boqian Wang, Jianfeng Li, Wenxuan Liu, Yiqun Yang, Na Wang, Quanqing Yao, Xinyue School of Automotive Engineering Harbin Institute of Technology Shandong Weihai264209 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Weihai Guangtai Airport Equipment Co. Ltd. Weihai264200 China

ISBN: (纸本)9781510655942

Most of the existing path-planning algorithms do not consider lateral safe distance requirements in practical applications. Hence, in this study, a new path point selection algorithm is proposed for path planning. The algorithm first used the Harris and Line Segment Detector(LSD) algorithms to detect and obtain the corner and edge information of obstacles. A vertical line was provided to the edge of the surrounding obstacles along each corner successively. In this process, the narrow impassable area in the map was filtered and removed by setting a safety threshold, and the foot of the vertical coordinates were simultaneously obtained. The corresponding midpoint coordinates were solved by using the corner coordinates and the foot of the corresponding perpendicular coordinates. The midpoint coordinates were used as candidate points to generate path points. These candidate points are screened and relaxed using the Probabilistic Roadmaps(PRM) algorithm to obtain the series of path points required. Finally, the path was planned according to these path points and smoothed using the Quadratic polynomial interpolation method(QPMI). Through simulation experiments, the method proposed in this study can solve a unique path without randomness under given conditions, and the probability of a collision in practical applications was reduced. © 2022 SPIE.

关键词： Motion planning

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Carrying the uncarriable: a deformation-agnostic and human-cooperative framework for unwieldy objects using multiple robots

Carrying the uncarriable: a deformation-agnostic and human-c...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Doganay Sirintuna Idil Ozdamar Arash Ajoudani Human-Robot Interfaces and Interaction Laboratory Istituto Italiano di Tecnologia Genoa Italy Dept. of Informatics Bioengineering Robotics and System Engineering University of Genoa Genoa Italy

This manuscript introduces an object deformability-agnostic framework for co-carrying tasks that are shared between a person and multiple robots. Our approach allows the full control of the co-carrying trajectories by the person while sharing the load with multiple robots depending on the size and the weight of the object. This is achieved by merging the haptic information transferred through the object and the human motion information obtained from a motion capture system. One important advantage of the framework is that no strict internal communication is required between the robots, regardless of the object size and deformation characteristics. We validate the framework with two challenging real-world scenarios: co-transportation of a wooden rigid closet and a bulky box on top of forklift moving straps, with the latter characterizing deformable objects. In order to evaluate the generalizability of the proposed framework, a heterogenous team of two mobile manipulators that consist of an Omni-directional mobile base and a collaborative robotic arm with different DoFs is chosen for the experiments. The qualitative comparison between our controller and the baseline controller (i.e., an admittance controller) during these experiments demonstrated the effectiveness of the proposed framework especially when co-carrying deformable objects. Furthermore, we believe that the performance of our framework during the experiment with the lifting straps offers a promising solution for the co-transportation of bulky and ungraspable objects.

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MUP-LIO: Mapping Uncertainty-aware Point-wise Lidar Inertial Odometry

MUP-LIO: Mapping Uncertainty-aware Point-wise Lidar Inertial...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Hekai Yao Xuetao Zhang Gang Sun Yisha Liu Xuebo Zhang Yan Zhuang Intelligent Robotic Laboratory School of Artificial Intelligence School of Control Science and Engineering Dalian University of Technology Dalian China School of Information Science and Technology Dalian Maritime University Dalian China College of Artificial Intelligence The Institute of Robotics and Automatic Information System (IRAIS) Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

This paper proposes a mapping uncertainty-aware point-wise Lidar Inertial Odometry (LIO), which synthesizes the point-wise point-to-plane match and map refreshment into a probabilistic model. As a result, it can address the issue of mismatching during point registration and remove in-frame motion distortion of Lidar sensors. Specifically, the uncertainty-aware map is designed to embody the uncertainty of map geometric features (points and planes), which comes from the Lidar point measurement and pose estimation. Then the map can be modeled in a probabilistic form. In addition, the proposed framework refreshes map at each Lidar point measurement to timely revise geometric features and provide non-delayed map. On the basis, the probabilistic point-to-plane match method is designed to seek a corresponding plane for each Lidar point in point registration, which can enhance the effectiveness of match and provide adaptive observation noises for more accurate state estimation. Comparative experiments on various public datasets are conducted to demonstrate the superior performance of the proposed framework in terms of higher accuracy and better robustness.

关键词： Laser radar Accuracy Uncertainty Probabilistic logic Distortion Robustness Sensors Odometry Distortion measurement State estimation

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An Improved Dual Quaternion-based Dynamic Movement Primitives Formulation for Obstacle Avoidance Kinematics in Human- Robot Collaboration system of systems

An Improved Dual Quaternion-based Dynamic Movement Primitive...

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IEEE International Conference on system of systems engineering (SoSE)

作者： Freddy Liendo Alessandro Bozzi Camilo Hernández Christine Galez Roberto Sacile José Jiménez Laboratory System And Materials For Mechatronics (SYMME) Université Savoie Mont Blanc Annecy France Department of Informatics Bioengineering Robotics and Systems Engineering (DIBRIS) University of Genoa Genoa Italy

In the context of Human-Robot Collaboration (HRC) as system of systems (SoS), motion planning and learning are a highly important subsystem. Dynamic Movement Primitives (DMP) are an elegant and efficient method for learning complex behaviours and representing them as stable, well understood dynamical systems. When applied for encoding a task by considering the behaviour of the end-effector of a robotic manipulator in Cartesian space, the common solution is to represent and to encode the pose separately as position and orientation using different but phase-coupled DMP formulations; resulting mathematically and algorithmically inefficient. Dual Quaternions are a mathematical tool capable of representing pose in a unified variable. Literature shows the interest of such a representation for rigid body kinematics, given its mathematical flexibility, efficiency and robustness. This article presents an existing formulation for Dual Quaternion Dynamic Movement Primitives based on screw theory. Then, we expand on our proposed improved formulation which considers obstacle avoidance as a contribution for the layer of Awareness and Intelligence in the context of Human-Robot Collaboration as a system of systems.

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FlexDelta: A flexure-based fully decoupled parallel xyz positioning stage with long stroke

arXiv

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arXiv 2023年

作者： Zhang, Qianjun Dong, Wei Xu, Qingsong Goteea, Bimal J. Gao, Yongzhuo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150000 China Department of Electromechanical Engineering Faculty of Science and Technology University of Macau Macau999078 China

Decoupled parallel xyz positioning stages with large stroke have been desired in high-speed and precise positioning fields. However, currently such stages are either short in stroke or unqualified in parasitic motion and coupling rate. This paper proposes a novel flexure-based decoupled parallel xyz positioning stage (FlexDelta) and conducts its conceptual design, modeling, and experimental study. Firstly, the working principle of FlexDelta is introduced, followed by its mechanism design with flexure. Secondly, the stiffness model of flexure is established via matrix-based Castigliano’s second theorem, and the influence of its lateral stiffness on the stiffness model of FlexDelta is comprehensively investigated and then optimally designed. Finally, experimental study was carried out based on the prototype fabricated. The results reveal that the positioning stage features centimeter-stroke in three axes, with coupling rate less than 0.53%, parasitic motion less than 1.72 mrad over full range. And its natural frequencies are 20.8 Hz, 20.8 Hz, and 22.4 Hz for x, y, and z axis respectively. Multi-axis path tracking tests were also carried out, which validates its dynamic performance with micrometer error. Copyright © 2023, The Authors. All rights reserved.

关键词： Stiffness

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Precise LiDAR SLAM in Structured Scene Using Finite Plane and Prior Constraint

Precise LiDAR SLAM in Structured Scene Using Finite Plane an...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Xie, Yuhui Zhao, Wentao Wang, Jiahao Wang, Jingchuan Chen, Weidong Institute of Medical Robotics and Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Shanghai Jiao Tong University Ministry of Education Shanghai200240 China

ISBN: (纸本)9781665481090

In this paper, we propose a precise LiDAR SLAM in optimization framework using plane-like object as landmark. Compared to general methods, finite plane feature is used to represent landmark and a new residual model is designed, making constraint from edge of landmark can be used to limit the parallel position between LiDAR and landmark, leading to a more accurate result. Moreover, floor plan is used to provide global pose for reduction of drift, and additionally feature orientation prior is used to prevent map distortion when updating the inaccurate part of floor plan. Experiments are conducted using data collected in real environment. The result qualitatively shows that proposed method can build a corrected map from floor plan without distortion, and quantitatively verifies that proposed method can outperform other baseline methods in accuracy. © 2022 IEEE.

关键词： Optical radar

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Reliability Evaluation of Emergent Behaviour in a Flexible Manufacturing Problem

Reliability Evaluation of Emergent Behaviour in a Flexible M...

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IEEE International Conference on system of systems engineering (SoSE)

作者： Alessandro Bozzi Simone Graffione José Jiménez Roberto Sacile Enrico Zero Department of Informatics Bioengineering Robotics and Systems Engineering (DIBRIS) University of Genoa Genoa Italy Laboratory System And Materials For Mechatronics (SYMME) Université Savoie Mont Blanc Annecy France

Scheduling is a key component of manufacturing systems. In general, it describes how multiple jobs or workloads are processed within a limited set of resources to achieve certain manufacturing objectives, such as minimizing the makespan or weighted tardiness. Nevertheless, as the demand for customized and versatile products increased, these systems became more flexible by incorporating flexible manufacturing processes. As a result, it is possible to vary either the machine operations or the product route within highly automated and connected material handling systems. Therefore, the scheduling process is more complex as it involves solving the routing problem within different alternatives and sharing redundant resources between multiple production processes, thereby increasing workload and bottlenecks within the system. Thus, it is imperative to address the scheduling problem while taking into account the physical constraints caused by shared machines and product routing. This paper proposes a Mixed Integer Linear Programming algorithm to solve the flow-shop scheduling problem and minimize the makespan while balancing the machine usage to limit emergent behaviours due to over-utilization. The robustness of the approach is then verified in the case of delays which alter the processing time on machines. Experiments on a limited instance of a flexible manufacturing system confirm the effectiveness of the solution, with a small increase in completion time even for high-magnitude delays.

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Enhancing Human-Robot Collaboration Transportation through Obstacle-Aware Vibrotactile Feedback

arXiv

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arXiv 2023年

作者： Sirintuna, Doganay Ozdamar, Idil Gandarias, Juan M. Ajoudani, Arash Human-Robot Interfaces and Interaction Laboratory Istituto Italiano di Tecnologia Genoa Italy Dept. of Informatics Bioengineering Robotics and System Engineering University of Genoa Genoa Italy

Transporting large and heavy objects can benefit from Human-Robot Collaboration (HRC), increasing the contribution of robots to our daily tasks and reducing the risk of injuries to the human operator. This approach usually posits the human collaborator as the leader, while the robot has the follower role. Hence, it is essential for the leader to be aware of the environmental situation. However, when transporting a large object, the operator's situational awareness can be compromised as the object may occlude different parts of the environment. This paper proposes a novel haptic-based environmental awareness module for a collaborative transportation framework that informs the human operator about surrounding obstacles. The robot uses two LIDARs to detect the obstacles in the surroundings. The warning module alerts the operator through a haptic belt with four vibrotactile devices that provide feedback about the location and proximity of the obstacles. By enhancing the operator's awareness of the surroundings, the proposed module improves the safety of the human-robot team in co-carrying scenarios by preventing collisions. Experiments with two non-expert subjects in two different situations are conducted. The results show that the human partner can successfully lead the co-transportation system in an unknown environment with hidden obstacles thanks to the haptic feedback. Copyright © 2023, The Authors. All rights reserved.

关键词： Robots

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