Iori Kumagai, M. Morisawa, Shin'ichiro Nakaoka, F. Kanehiro
{"title":"Efficient Locomotion Planning for a Humanoid Robot with Whole-Body Collision Avoidance Guided by Footsteps and Centroidal Sway Motion","authors":"Iori Kumagai, M. Morisawa, Shin'ichiro Nakaoka, F. Kanehiro","doi":"10.1109/HUMANOIDS.2018.8624927","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624927","url":null,"abstract":"In this paper, we propose a locomotion planning framework for a humanoid robot with an efficient footstep and whole-body collision avoidance planning, which enables the robot to traverse an unknown narrow space while utilizing its body structure like a human. The key idea of the proposed method is to reduce a large computational cost for the whole-body locomotion planning by executing global footstep planning first, which has a much smaller search space, and then performing a sequential whole-body posture planning while utilizing the resulting footsteps and a centroidal trajectory as a guide. In the global footstep planning phase, we modify bounding box of the robot based on the centroidal sway motion. This idea enables the planner to obtain appropriate footsteps for next whole-body motion planning. Then, we execute sequential whole-body collision avoidance motion planning by prioritized inverse kinematics based on the resulting footsteps and centroidal trajectory, which enables the robot to plan whole-body collision avoidance motion for each step within less than 100ms at worst. The major contribution of our paper is solving the problem of the increasing computational cost for whole-body motion planning and enabling a humanoid robot to execute adaptive locomotion planning on the spot in an unknown narrow space.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115177970","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}
Xiao Sun, Syota Hayashi, K. Hashimoto, T. Matsuzawa, Y. Yoshida, Nobuaki Sakai, Akihiro Imai, Masahiro Okawara, Kengo Kumagai, Takanobu Matsubara, Koki Yamaguchi, A. Takanishi
{"title":"Error Compensation System with Proximity Sensors for Vertical Ladder Climbing of the Robot “WAREC-1”","authors":"Xiao Sun, Syota Hayashi, K. Hashimoto, T. Matsuzawa, Y. Yoshida, Nobuaki Sakai, Akihiro Imai, Masahiro Okawara, Kengo Kumagai, Takanobu Matsubara, Koki Yamaguchi, A. Takanishi","doi":"10.1109/HUMANOIDS.2018.8625073","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625073","url":null,"abstract":"This paper introduces a sensor system and motion that measure and compensate the error in position and orientation between robot's end-effectors and the rungs of ladder while climbing a ladder. This error has been a threat to vertical ladder climbing for a four-limbed robot and may directly cause failure in climbing, thus must be compensated. In detail, our error compensation system consists of 8 proximity sensors (2 sensors for each end-effector) powered by lithium batteries and data is transmitted via wireless communication. With the system constructed, corresponding algorithms to measure and calculate the amount of error in position and orientation as well as motion planning of the robot to compensate the error are proposed. Additionally, countermeasures are also prepared to deal with undesired situations, such as communication in low quality and incorrect data returned from proximity sensors. Simulation results of comparison with and without error compensation are presented and experiment results of the real robot are given to validate the effectiveness of our proposed system. Finally, discussions about results are shown and expected prospective works are concluded.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116028918","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}
Xuan Zhao, Sakmongkon Chumkamon, Shuangda Duan, Juan Rojas, Jia Pan
{"title":"Collaborative Human-Robot Motion Generation Using LSTM-RNN","authors":"Xuan Zhao, Sakmongkon Chumkamon, Shuangda Duan, Juan Rojas, Jia Pan","doi":"10.1109/HUMANOIDS.2018.8625068","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625068","url":null,"abstract":"We propose a deep learning based method for fast and responsive human-robot handovers that generate robot motion according to human motion observations. Our method learns an offline human-robot interaction model through a Recurrent Neural Network with Long Short-Term Memory units (LSTM-RNN). The robot uses the learned network to respond appropriately to novel online human motions. Our method is tested both on pre-recorded data and real-world human-robot handover experiments. Our method achieves robot motion accuracies that outperform the baseline. In addition, our method demonstrates a strong ability to adapt to changes in velocity of human motions.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116717340","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":"Fall Protection of Humanoids Inspired by Human Fall Motion","authors":"Wenpeng Ding, Xuechao Chen, Zhangguo Yu, Libo Meng, M. Ceccarelli, Qiang Huang","doi":"10.1109/HUMANOIDS.2018.8625074","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625074","url":null,"abstract":"Most of the existing stability control methods for humanoids aim at avoiding falling down, and it is difficult to cope with the sudden fall of robots. However, humanoids is an unstable system which cannot avoid falling down. In this paper, we design a planning method of fall protection for humanoids according to the human fall motion. This method determines the contact position between the robot and the ground by adjusting the motion of the robot when it falls. In order to further reduce the damage to the robot, the appropriate cushioning material installed at the point of collision is selected to absorb the impact. The effectiveness of the proposed method is verified by BHR6P humanoid robot fall experiments.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128265054","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":"Automated Design of Manipulators for In-Hand Tasks","authors":"Christopher Hazard, N. Pollard, Stelian Coros","doi":"10.1109/HUMANOIDS.2018.8624932","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624932","url":null,"abstract":"Grasp planning and motion synthesis for dexterous manipulation tasks are traditionally done given a preexisting kinematic model for the robotic hand. In this paper, we introduce a framework for automatically designing hand topologies best suited for manipulation tasks given high level objectives as input. Our goal is to create a pipeline that automatically generates custom hands designed for specific manipulation tasks based on high level user input. Our framework comprises of a sequence of trajectory optimizations chained together to translate a sequence of objective poses into an optimized hand mechanism along with a physically feasible motion plan involving both the constructed hand and the object. We demonstrate the feasibility of this approach by synthesizing a series of hand designs optimized to perform specified in-hand manipulation tasks of varying difficulty.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121881613","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}
Kailun Yang, L. Bergasa, Eduardo Romera, Xiao Huang, Kaiwei Wang
{"title":"Predicting Polarization Beyond Semantics for Wearable Robotics","authors":"Kailun Yang, L. Bergasa, Eduardo Romera, Xiao Huang, Kaiwei Wang","doi":"10.1109/HUMANOIDS.2018.8625005","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625005","url":null,"abstract":"Semantic perception is a key enabler in robotics, which supposes a very resourceful and efficient manner of applying vision information for upper-level navigation and manipulation tasks. Given the challenges on specular semantics such as water hazards, transparent glasses and metallic surfaces, polarization imaging has been explored to complement the RGB-based pixel-wise semantic segmentation because it reflects surface characteristics and provides additional attributes. However, polarimetric measurements generally entail prohibitively expensive cameras and highly accurate calibrations. Inspired by the representation power of Convolutional Neural Networks (CNNs), we propose to predict polarization information from monocular RGB images, precisely per-pixel polarization difference. The core of our approach is a cluster of efficient deep architectures building on factorized convolutions, hierarchical dilations and pyramid representations, aimed to produce both semantic and polarimetric estimations in real time. Comprehensive experiments demonstrate the qualified accuracy on a wearable exoskeleton humanoid robot.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125160252","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":"Design of Crawling Motion for a Biped Walking Humanoid with 3-DoF Rigid-Flexible Waist","authors":"Zelin Huang, Xinyang Jiang, Huaxin Liu, Xuechao Chen, T. Fukuda, Qiang Huang","doi":"10.1109/HUMANOIDS.2018.8624931","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624931","url":null,"abstract":"In order to be applied in complex environment, humanoid robots are desired to have the ability of both biped walking and quadruped crawling. Crawling is a multicontact motion. If the mechanism is completely rigid, there will be a closed kinematic chain of robot which is likely to cause damage to robot joints. Therefore, the robot needs to have some flexibility in mechanism. However, biped walking requires highly rigid mechanism to maintain walking stability. Consequently, it is a crucial issue to study crawling motion and biped walking motion in case of rigid-flexible mechanism. In this paper, firstly a 3-DoF rigid-flexible waist is proposed. The waist has rigidity when walking and flexibility when crawling. Then a crawling pattern generation algorithm based on CPG is presented, which solves the problem of difficult to plan crawling motion of robot with rigid-flexible mechanism. Finally, the validity of the proposed method is confirmed by experiments.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117054313","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":"Design of a Single Cam Single Actuator Multiloop Eyeball Mechanism","authors":"M. Khan, Cheng Chen","doi":"10.1109/HUMANOIDS.2018.8625069","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625069","url":null,"abstract":"This paper reports design and implementation of a multiloop robotic eyeball mechanism that enables synchronously rotating two eyeballs using a single actuator. Our optimally designed eyeball mechanism can help in implementing light weight, agile and energy efficient robotic heads. To the best of our knowledge, no existing eyeball mechanism is able to synchronously rotate two eyeballs using a single actuator. This work demonstrates use of a multiloop mechanism for reducing the number of required actuators and hence reducing the overall power consumption. Our eyeball mechanism incorporates an optimally designed 4-PS (prismatic-spherical) plus 1-P (passive support) construct. This partially passive construct comprises of a double-dwell end-cam plus a 4-follower arrangement. The cam-follower arrangement also augments a control strategy for synchronously rotating eyeballs and irides. We also present a methodology for determining the position kinematics of this 4-degree of freedom robotic eyeball mechanism.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233733","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}
M. Folgheraiter, Alikhan Yessaly, Galym Kaliyev, Asset Yskak, Sharafatdin Yessirkepov, Artemiy Oleinikov, G. Gini
{"title":"Computational Efficient Balance Control for a Lightweight Biped Robot with Sensor Based ZMP Estimation","authors":"M. Folgheraiter, Alikhan Yessaly, Galym Kaliyev, Asset Yskak, Sharafatdin Yessirkepov, Artemiy Oleinikov, G. Gini","doi":"10.1109/HUMANOIDS.2018.8625016","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625016","url":null,"abstract":"This paper presents a computational efficient balance control algorithm developed for a lightweight biped. A LIP model of the robot is combined with the ZMP calculation to derive a joint space control action based on a PD controller. Furthermore, a method is implemented to estimate the ZMP directly from the center of pressure measured using the force sensors installed under the feet of the robot. This, allows a real time implementation of the controller without using the robot direct kinematics, reducing model inaccuracies and improving the controller reactivity. Simulation results and tests on the real robot prototype shows that the control system is able to compensate for external disturbances forces up to 10N reducing the oscillations of 60%.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130974489","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}
Luigo Penco, Brice Clement, Valerio Modugno, E. Hoffman, Gabriele Nava, D. Pucci, N. Tsagarakis, Jean-Baptiste Mourert, S. Ivaldi
{"title":"Robust Real-Time Whole-Body Motion Retargeting from Human to Humanoid","authors":"Luigo Penco, Brice Clement, Valerio Modugno, E. Hoffman, Gabriele Nava, D. Pucci, N. Tsagarakis, Jean-Baptiste Mourert, S. Ivaldi","doi":"10.1109/HUMANOIDS.2018.8624943","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624943","url":null,"abstract":"Transferring the motion from a human operator to a humanoid robot is a crucial step to enable robots to learn from and replicate human movements. The ability to retarget in realtime whole-body motions that are challenging for the humanoid balance is critical to enable human to humanoid teleoperation. In this work, we design a retargeting framework that allows the robot to replicate the motion of the human operator, acquired by a wearable motion capture suit, while maintaining the whole-body balance. We introduce some dynamic filter in the retargeting to forbid dangerous motions that can make the robot fall. We validate our approach through several experiments on the iCub robot, which has a significantly different body structure and size from the one of the human operator.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248883","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}