{"title":"Passivity-Based Compliant Walking on Torque-Controlled Hydraulic Biped Robot","authors":"Kenta Hirayama, Nozomu Hirosawa, S. Hyon","doi":"10.1109/HUMANOIDS.2018.8624964","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624964","url":null,"abstract":"This paper presents an experimental evaluation of passivity-based whole-body motion control framework for compliant walking. The controller computes joint torques without requiring much computation cost and contact force measuring. Instead of limiting the walking speed slow (static walking), in this work we specifically address the difficulties of walking on unstable and uneven ground. No terrain information is used in the experiments, that is, the ground is assumed to be flat, and the desired motion trajectories are given offline. With this setup we evaluate the terrain adaptability by force control alone. The controller is applied to our torque-controllable hydraulic humanoid robot, TaeMu. The robot could walk on a rocker board stably, and even climbed the small step with a little modification of the controller (quasi-dynamic walking).","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"27 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":"126188489","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}
Zihan Xu, Yu Bai, Runyu Ni, Ning Yang, Yi Sun, Peng Qi
{"title":"Anthropomorphic Soft Pneumatic Fingers Towards Full Dexterity of Human Hand","authors":"Zihan Xu, Yu Bai, Runyu Ni, Ning Yang, Yi Sun, Peng Qi","doi":"10.1109/HUMANOIDS.2018.8625023","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625023","url":null,"abstract":"Human fingers are highly dexterous due to the combination of multiple joints and degrees of freedom (DoFs). With the rise of soft material robots, many gripper prototypes have utilized soft robot technology. Nonetheless, it is still challenging to build a soft finger with a similar dexterity to human hand. Owing to the soft pneumatic actuator (SPA) fabrication flexibility, we have proposed a multiple DoFs soft pneumatic fingers design scheme that can mimic the motion patterns of human hand. Unlike the most SPA fingers where the motion patterns are fixed and limited, here our soft fingers can function like the human finger movements to a greater extent. The design is composed of three parts: (i) a SPA with two independent chambers as the main part of finger; (ii) a constraint layer made of unstretchable fabric which simulates tendon; (iii) a fiber-reinforced three-channel fluidic elastomer actuator (FEA). The abundance in DoFs expands the range of motions of the fingers and enables them to reach where human fingers can go. By controlling the internal pressure of the actuator, a variety of human finger motion patterns are achieved. Since each chamber's pressure can be individually controlled, the dexterous position control of the finger has been made possible. Fabrication process of the soft pneumatic fingers is presented, followed by the characterizations to provide a better understanding of their behaviors. In the last part of the article, a robotic hand composed of five fingers is fabricated for demonstration.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"23 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":"128253580","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}
Riku Shigematsu, Shintaro Komatsu, Youhei Kakiuchi, K. Okada, M. Inaba
{"title":"Lifting and Carrying an Object of Unknown Mass Properties and Friction on the Head by a Humanoid Robot","authors":"Riku Shigematsu, Shintaro Komatsu, Youhei Kakiuchi, K. Okada, M. Inaba","doi":"10.1109/HUMANOIDS.2018.8625001","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625001","url":null,"abstract":"When a humanoid robot carries an object, it should recognize surroundings to avoid obstacles while holding the object stably. Previous methods usually hold an object in front of its body. However, it causes visual occlusions and instability of holding when the object is supported by only its hands. To solve these problems, we propose methods for making a humanoid robot lift and carry an object on the head. By holding an object on the head, a robot can recognize its surroundings easily as the object goes out of its sight. In addition, as the object is supported by both hands and the head, three points in total, carriage becomes more stabilized. We also implement our methods on the humanoid robot JAXON and show the methods can be applied to the real robot.","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":"128594842","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}
Jeffrey Yu, Joshua Hooks, Xiaoguang Zhang, M. Ahn, D. Hong
{"title":"A Proprioceptive, Force-Controlled, Non-Anthropomorphic Biped for Dynamic Locomotion","authors":"Jeffrey Yu, Joshua Hooks, Xiaoguang Zhang, M. Ahn, D. Hong","doi":"10.1109/HUMANOIDS.2018.8624919","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624919","url":null,"abstract":"The performance of traditional humanoid robots is often limited by their design, with high DoF limbs and stiff actuation complicating their dynamics and impeding their ability to operate in unsupervised environments. In response to these deficiencies, this paper introduces the Non-Anthropomorphic Biped: Version 2 (NABi- V2), a bipedal robot that is a departure from the conventional humanoid paradigm in its morphology and actuation method. That is, NABi- V2 is a platform with a unique leg configuration that is designed around high torque back-drivable electric actuators that provide proprioception and force control capabilities. This paper details the concept and design of this system, and presents a simple yet robust compositional controller for performing in place, two-legged pronking, a form of continuous jumping locomotion that is typically realized with series elastic or hydraulic actuation.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"58 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":"130132577","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}
C. Stoeffler, Shivesh Kumar, Heiner Peters, O. Brüls, A. Müller, F. Kirchner
{"title":"Conceptual Design of a Variable Stiffness Mechanism in a Humanoid Ankle Using Parallel Redundant Actuation","authors":"C. Stoeffler, Shivesh Kumar, Heiner Peters, O. Brüls, A. Müller, F. Kirchner","doi":"10.1109/HUMANOIDS.2018.8625046","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625046","url":null,"abstract":"Future robots will rely more than today on high precision, better energy efficiency and safe handling (e.g. human-machine interaction). An inevitable step in the development of new robots is therefore the improvement of existing mechanisms, since better sensors and algorithms do not satisfy the demands alone. During the last three decades, Parallel Redundant Mechanisms (PRM) came more into the focus of research, as they are advantageous in terms of singularity avoidance, fast movements and energy efficiency. Subsequently, yet another technology - the Variable Impedance Actuator (VIA) - emerged which proposes to change its inherent stiffness allowing an adaptation to its environment and to handle for example dynamic movements or shock absorptions. This work aims to create a new mechanism where a stiffness and position control for 2 degrees of freedom (DOF) is achieved by 3 actuators with flexible elements. It is thus a combination of the PRM and VIA, while taking advantage of both technologies but asking for a more sophisticated mathematical description. Practical implementation is intended for a humanoid ankle mechanism. Kinetostatic and stiffness models are derived and incorporated into the simulation of the mechanism. The simulations show that improvements in terms of singularity removal and dexterity are achieved. Furthermore, the adaptation of human like gait performances is presented.","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":"128947844","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}
Satoshi Funabashi, A. Schmitz, Takashi Sato, S. Somlor, S. Sugano
{"title":"Versatile In-Hand Manipulation of Objects with Different Sizes and Shapes Using Neural Networks","authors":"Satoshi Funabashi, A. Schmitz, Takashi Sato, S. Somlor, S. Sugano","doi":"10.1109/HUMANOIDS.2018.8624961","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624961","url":null,"abstract":"Changing the grasping posture of objects within a robot hand is hard to achieve, especially if the objects are of various shape and size. In this paper we use a neural network to learn such manipulation with variously sized and shaped objects. The TWENDY-ONE hand possesses various properties that are effective for in-hand manipulation: a high number of actuated joints, passive degrees of freedom and soft skin, six-axis force/torque (F /T) sensors in each fingertip and distributed tactile sensors in the soft skin. The object size information is extracted from the initial grasping posture. The training data includes tactile and the object information. After training the neural network, the robot is able to manipulate objects of not only trained but also untrained size and shape. The results show the importance of size and tactile information. Importantly, the features extracted by a stacked autoencoder (trained with a larger dataset) could reduce the number of required training samples for supervised learning of in-hand manipulation.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"16 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":"126468946","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}
Rohan Budhiraja, Justin Carpentier, Carlos Mastalli, N. Mansard
{"title":"Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics","authors":"Rohan Budhiraja, Justin Carpentier, Carlos Mastalli, N. Mansard","doi":"10.1109/HUMANOIDS.2018.8624925","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8624925","url":null,"abstract":"A common strategy to generate efficient locomotion movements is to split the problem into two consecutive steps: the first one generates the contact sequence together with the centroidal trajectory, while the second step computes the whole-body trajectory that follows the centroidal pattern. While the second step is generally handled by a simple program such as an inverse kinematics solver, we propose in this paper to compute the whole-body trajectory by using a local optimal control solver, namely Differential Dynamic Programming (DDP). Our method produces more efficient motions, with lower forces and smaller impacts, by exploiting the Angular Momentum (AM). With this aim, we propose an original DDP formulation exploiting the Karush- Kuhn-Tucker constraint of the rigid contact model. We experimentally show the importance of this approach by executing large steps walking on the real HRP-2 robot, and by solving the problem of attitude control under the absence of external contact forces.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"34 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":"126481814","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":"Humanoid Robot Grasping with a Soft Gripper Through a Learned Inverse Model of a Central Pattern Generator and Tactile Servoing","authors":"Yuxiang Pan, F. Hamker, John Nassour","doi":"10.1109/HUMANOIDS.2018.8625035","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625035","url":null,"abstract":"Grasping and manipulation are essential skills that humanoid robots need in order to operate in the human environment. Model-based methods require a precise calibration and suffer from high order non-linearity. While, neural-based representations does not require a dedicated calibration process to solve these tasks. However, some suffer from high generalization error that reduces the accuracy or require large-scale data collection. The role of sensory feedback is therefore important to adapt the action. We present a control framework to learn grasping with a soft gripper attached to a humanoid robot arm. The inverse kinematic model of the arm is acquired through motor babbling of a central pattern generator and encoded by a feed-forward neural network. To overcome the generalization error we provide the gripper with a tactile sensors array at each finger. The tactile servoing is used to correct the action before grasping. The proposed model has been tested in simulation, and on the real robot where a soft sensory gripper was used to interact with a human subject (Tactile Servoing). Successful grasping was achieved thanks to the integration of a learned inverse model with the sensory feedback.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"295 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":"123089920","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":"Understand Human Walking Through a 2D Inverted Pendulum Model","authors":"Linqi Ye, Xuechao Chen","doi":"10.1109/HUMANOIDS.2018.8625057","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625057","url":null,"abstract":"This paper gives some macroscopic understandings on human walking about the limitations on walking speed and step length, the reachable region, capture region, and disturbance recovery through a 2D inverted pendulum model. Our concern is the most basic problems in human walking, such as what are the limitations on walking speed and step length, how people change speed during step-to-step transition, and how people prevent a fall. The concept of walking orbit is proposed as a tool to study these problems. It describes the walking motion in the state space under walking constraints, giving us an intuitive way to study human walking during a step and switch between steps. The model has a point mass on the hip and two massless legs. The two dominant control inputs, hip and ankle actuation are idealized into a free determined foot placement and an impulsive push off. Based on this model, some quantitative and qualitative analysis are given, leading to some macroscopic understandings on human walking. Although this paper does not talk about any details on how to realize the control for a real biped robot, it may serve as a helpful guide for biped robot design and control in the future.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"81 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":"121188070","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}
Tasuku Makabe, Kento Kawaharazuka, Kei Tsuzuki, Kentaro Wada, S. Makino, Masaya Kawamura, Ayaka Fujii, Moritaka Onitsuka, Yuki Asano, K. Okada, Koji Kawasaki, M. Inaba
{"title":"Development of Movable Binocular High-Resolution Eye-Camera Unit for Humanoid and the Evaluation of Looking Around Fixation Control and Object Recognition","authors":"Tasuku Makabe, Kento Kawaharazuka, Kei Tsuzuki, Kentaro Wada, S. Makino, Masaya Kawamura, Ayaka Fujii, Moritaka Onitsuka, Yuki Asano, K. Okada, Koji Kawasaki, M. Inaba","doi":"10.1109/HUMANOIDS.2018.8625072","DOIUrl":"https://doi.org/10.1109/HUMANOIDS.2018.8625072","url":null,"abstract":"Nowadays, studies have been conducted on humanoid robots with human mimetic structures. However, in the field of recognition, there is still much difference between humans and ordinary humanoid robots. For example, humans have movable eyes and use the degrees of freedom (DOF) of eyes in several ways: extension of the field of view, immediate changing of sight direction, focusing on objects to observe thoroughly. This DOF enables humans to adjust input images by aiming the direction of sight to desired objects, even when the body movement is limited. On the other hand, ordinary humanoid robots tend to have the cameras fixed to the head. Therefore, the humanoid has to move the head as a whole in order to change the sight direction of the camera. In this study, we developed both a movable binocular high-resolution eye-camera unit, which is small enough to be installed in the humanoid head, and a system to change input images according to the environment. The developed unit contains cameras, actuators, and motor control boards, being a stand-alone unit that enables the use of the movable eye. A small high-resolution auto-focus camera is used for this eye-camera unit. The developed system is used to adjust the images to the environment, controlling the recognition area by changing the direction of sight, size of input images and resolution.","PeriodicalId":433345,"journal":{"name":"2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)","volume":"12 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":"116582154","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}