{"title":"Development of a Conveyor-Type Object Release Mechanism for a Parallel Gripper with a Mushroom-Shaped Gecko-Inspired Surface","authors":"Shunsuke Nagahama, A. Nakao, S. Sugano","doi":"10.1109/IROS47612.2022.9981232","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981232","url":null,"abstract":"A surface microstructure that mimics the surface of a gecko's foot can exert a large gripping force with a small contact force. If such a structure is applied to the fingertips of a two-fingered parallel gripper, stable grasping can be achieved independent of the wetting and frictional state of the contact surface. However, the adhesive force of the microstructure is large while releasing the object, which hinders the release of the object. In this study, we developed a release method using a conveyor mechanism that easily peels off in the direction of rotation with a focus on the characteristics of the micro-protrusion structure. This mechanism is driven in conjunction with the gripper's grasping and releasing motions. Our experiments confirmed that the gripper can stably release the object using the proposed mechanism. The proposal in this paper is a mechanism that dynamically changes the adhesive force on a fingertip by mechanically switching the surface state in accordance with the gripper's grasping and releasing states. This idea can be applied to not only surface microstructure such as gecko-inspired surfaces but also adhesive surfaces such as adhesive tape, and provides novel knowledge in the field of robotics as a method of mechanically changing the fingertip adhesive force.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133502041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Ebert, F. Berlinger, Bahar Haghighat, R. Nagpal
{"title":"A Hybrid PSO Algorithm for Multi-robot Target Search and Decision Awareness","authors":"J. Ebert, F. Berlinger, Bahar Haghighat, R. Nagpal","doi":"10.1109/IROS47612.2022.9982022","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9982022","url":null,"abstract":"Groups of robots can be tasked with identifying a location in an environment where a feature cue is past a threshold, then disseminating this information throughout the group – such as identifying a high-enough elevation location to place a communications tower. This is a continuous-cue target search, where multi-robot search algorithms like particle swarm optimization (PSO) can improve search time through parallelization. However, many robots lack global communication in large spaces, and PSO-based algorithms often fail to consider how robots disseminate target knowledge after a single robot locates it. We present a two-stage hybrid algorithm to solve this task: (1) locating a target with a variation of PSO, and (2) moving to maximize target knowledge across the group. We conducted parameter sweep simulations of up to 32 robots in a grid-based grayscale environment. Pre-decision, we find that PSO with a variable velocity update interval improves target localization. In the post-decision phase, we show that dispersion is the fastest strategy to communicate with all other robots. Our algorithm is also competitive with a coverage sweep benchmark, while requiring significantly less inter-individual coordination.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"475 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133470951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving the Efficiency of Sampling-based Motion Planners via Runtime Predictions for Motion-Planning Problems with Dynamics","authors":"Hoang-Dung Bui, Yuanjie Lu, E. Plaku","doi":"10.1109/IROS47612.2022.9981753","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981753","url":null,"abstract":"While sampling-based approaches have made significant progress, motion planning with dynamics still poses significant challenges as the planner has to generate not only collision-free but also dynamically-feasible trajectories that enable the robot to reach its goal. To improve the efficiency of sampling-based motion planners, this paper develops a framework, termed Motion-Planning Runtime Prediction (MPRP), that relies on machine learning to train models to predict the expected runtime of a planner. When solving a new motion-planning problem, the trained model is then incorporated into the motion planner to more effectively guide the search toward parts of the state space that are associated with low expected runtime predictions. This paper applies the MPRP framework to state-of-the-art sampling-based motion planners to obtain new planners, which are shown to be significantly faster.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132177942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling and Characterization of Artificial Bacteria Flagella with Micro-structured Soft-magnetic Teeth","authors":"Zejie Yu, Chaojian Hou, Shuideng Wang, Kun Wang, Donglei Chen, Wenqi Zhang, Zhi Qu, Zhiyong Sun, Bo Song, Chao Zhou, Lixin Dong","doi":"10.1109/IROS47612.2022.9981435","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981435","url":null,"abstract":"Sub-structures such as micro-structured magnetic teeth fabricated with an artificial bacteria flagellum (ABF) are designed for achieving more motion modes, higher precision, and better controllability. To achieve these, a more precise model considering the non-circular cross-sectional features is setup without simplifying the structure as a helical filament with a circular cross-section as having been used in previous investigations, making it possible to include the effects of the substructures into the motion equation. Analyses and experiments verified the correctness. Besides of the geometric effects, our experimental observation also shows an anomalous step-out frequency appeared in an ABF. This asynchronous motion is attributed to the lag of magnetization with respect to the external rotating magnetic field due to the geometries and the soft-magnetic materials of the ribbons, which is different from the regular asynchronous motion solely caused by low Reynolds number of fluid to microscopic swimmers. While the lag of magnetization can be further attributed initiatively to the soft magnetic materials adopted, the feasibility to arrange the easy axis will enable many new possibilities, which is of particular interest in generating more modes for swarms such as cascade stepping out of ABFs with the same nominal overall sizes and for more precise positioning using stepping motion.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132711982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Jiang, Xinglong Zhang, Zhen Zuo, Meiping Shi, Shaojing Su
{"title":"Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems","authors":"Wei Jiang, Xinglong Zhang, Zhen Zuo, Meiping Shi, Shaojing Su","doi":"10.1109/IROS47612.2022.9981408","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981408","url":null,"abstract":"Designing the Kalman filter for nonlinear robot systems with theoretical guarantees is challenging, especially when the dynamics model is unavailable. This paper proposes a data-driven Kalman filter algorithm using kernel-based Koop-man operators for unknown nonlinear robot systems. First, the Koopman operator using sparse kernel-based extended dynamic decomposition (EDMD) is presented to learn the unknown dynamics with input-output datasets. Unlike classic EDMD, which requires manual selection of kernel functions, our approach automatically constructs kernel functions using an approximate linear dependency analysis method. The resulting Koopman model is a linear dynamic evolution in the kernel space, enabling us to address the nonlinear filtering problem using the standard linear Kalman filter design process. Despite this, our approach generates a nonlinear filtering law thanks to the adopted nonlinear kernel functions. Finally, the effectiveness of the proposed approach is validated by simulated experiments.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133226231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhanpeng Yin, Yan Hong, Xiaoyu Sun, Zhiyuan Shen, Yingxuan Zhang, Feng Ju, B. Drinkwater
{"title":"A Miniature Continuum Robot with Integrated Piezoelectric Beacon Transducers and its Ultrasonic Shape Detection in Robot-Assisted Minimally Invasive Surgeries","authors":"Zhanpeng Yin, Yan Hong, Xiaoyu Sun, Zhiyuan Shen, Yingxuan Zhang, Feng Ju, B. Drinkwater","doi":"10.1109/IROS47612.2022.9981700","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981700","url":null,"abstract":"Minimally invasive surgeries (MIS) or natural orifice transluminal endoscopic surgeries (NOTES) such as the transurethral resection of bladder tumor (TURBT) require the surgical robot to be miniaturized to perform surgical procedures in confined spaces. However, the surgical robot's tiny size poses problems in its fabrication and shape sensing. In this paper, a miniature continuum surgical robot is proposed with a unique laminated structure which can be fabricated through a 2D lamination process and converted into 3D through folding. This multi-material laminated structure also facilitates the integration of tiny piezoelectric transducers on the robot's surface as beacons to generate ultrasonic waves for shape detection. A novel beacon total focusing method (b-TFM) algorithm is developed to process the received ultrasonic data and create a high-quality ultrasonic image from which the shape of the continuum robot can be extracted. The proposed robot and the ultrasonic shape detection method are validated through simulations and experiments. The error in the open-loop trajectory control is less than 4 mm without compensation, and the error in the ultrasonic shape detection is less than 1 mm. This confirms the possibility of improving the trajectory control accuracy by using the detected shape as a feedback for closed-loop control.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127374499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hierarchical Framework for Long Horizon Planning of Object-Contact Trajectories","authors":"Bernardo Aceituno, Alberto Rodriguez","doi":"10.1109/IROS47612.2022.9981862","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981862","url":null,"abstract":"Given an object, an environment, and a goal pose, how should a robot make contact to move it? Solving this problem requires reasoning about rigid-body dynamics, object and environment geometries, and hybrid contact mechanics. This paper proposes a hierarchical framework that solves this problem in 2D worlds, with polygonal objects and point fingers. To achieve this, we decouple the problem in three stages: 1) a high-level graph search over regions of free-space, 2) a medium-level randomized motion planner for the object motion, and 3) a low-level contact-trajectory optimization for the robot and environment contacts. In contrast to the state of the art, this approach does not rely on handcrafted primitives and can still be solved efficiently. This algorithm does not require seeding and can be applied to complex object shapes and environments. We validate this framework with extensive simulated experiments showcasing long-horizon and contact-rich interactions. We demonstrate how our algorithm can reliably solve complex planar manipulation problems in the order of seconds.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133772844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of Variable Leg Elasticity on the Stability of Quadrupedal Gaits","authors":"Federico Del Fatti, Anna Sesselmann, M. Roa","doi":"10.1109/IROS47612.2022.9982204","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9982204","url":null,"abstract":"Several template models have been developed to facilitate the analysis of limit-cycles for quadrupedal locomotion. The parameters in the model are usually fixed; however, biology shows that animals change their leg stiffness according to the locomotion velocity, and this adaptability invariably affects the stability of the gait. This paper provides an analysis of the influence of this variable leg stiffness on the stability of different quadrupedal gaits. The analysis exploits a simplified quadrupedal model with compliant legs and shoulder joints represented as torsional springs. This model can reproduce the most common quadrupedal gaits observed in nature. The stability of such emerging gaits is then checked. Afterward, an optimization process is used to search for the system parameters that guarantee maximum gait stability. Our study shows that using the highest feasible leg swing frequency and adopting a leg stiffness that increases with the speed of locomotion noticeably improves the gait stability over a wide range of horizontal velocities while reducing the oscillations of the trunk. This insight can be applied in the design of novel elastic quadrupedal robots, where variable stiffness actuators could be employed to improve the overall locomotion behavior.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115417690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"End-Point Stiffness and Joint Viscosity Control of Musculoskeletal Robotic Arm Using Muscle Redundancy","authors":"Shoki Tsuboi, H. Kino, K. Tahara","doi":"10.1109/IROS47612.2022.9981712","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981712","url":null,"abstract":"This study focuses on replicating the muscu-loskeletal system of human arms for mimicking its movement. Muscle redundancy is critical for regulating the mechanical impedance of arms and legs. However, when implementing muscle redundancy on robots, making an ill-posed problem that cannot determine the muscle forces uniquely. In this paper, first, a method for controlling end-point stiffness in the muscle space for the joint and muscle redundant system is described. Next, the muscle model imitating the nonlinear viscosity characteristic of human muscles is introduced. Then, a method to control the joint viscosity by adjusting the internal forces of muscles adequately without affecting the stiffness control directly is proposed. Finally, numerical simulations are performed to investigate the effectiveness of the proposed method.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115530684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Groenhuis, Gijs Rolff, Koen Bosman, L. Abelmann, S. Stramigioli
{"title":"Absolute Position Detection in 7-Phase Sensorless Electric Stepper Motor","authors":"V. Groenhuis, Gijs Rolff, Koen Bosman, L. Abelmann, S. Stramigioli","doi":"10.1109/IROS47612.2022.9981190","DOIUrl":"https://doi.org/10.1109/IROS47612.2022.9981190","url":null,"abstract":"Absolute position detection in sensorless electric stepper motors potentially allows for higher space efficiency, improved shock resistance, simplified installation, reduced number of parts and lowered cost. A prototype is demonstrated measuring 42 × 42 × 34 mm3 with seven coils arranged in a star configuration. The rotor is ϕ 25.8 × 12.5 mm2 and has 51 teeth which are irregularly spaced. At the driver side, the coil currents are measured during motion in order to reconstruct the absolute position of the motor. Calibration and smoothing techniques are used to reduce systematic and stochastic measurement errors, respectively. The motor is able to detect and correct its position after externally-induced stalls at the tested motor speeds from 40 rpm to 108 rpm. The holding torque is 0.23 N m at an armature current of 1 A; on average the torque is 7% lower than that of a reference bipolar stepper motor with the same dimensions. The results show that dynamic position sensing and correction are possible for a range of velocities, but not at standstill. The driver requires seven current sensors and sufficient computational power, and proper calibration of motor intrinsics is required beforehand. The presented technology could make existing 3-D printers and other machines with open-loop stepper motors more robust and increase the range of operating speeds and accelerations, without the adverse side-effects of increased complexity and cost associated with dedicated position sensors.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115608188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}