Operational Space Control Framework for Torque Controlled Humanoid Robots with Joint Elasticity

Author(s):  
Jaesug Jung ◽  
Donghyeon Kim ◽  
Jaeheung Park
2020 ◽  
pp. 1-16
Author(s):  
Si Zhang ◽  
Jinglong Wu ◽  
Qiang Huang

This paper provides a review of humanoid robots and mind control humanoid robots. Information was obtained mainly from journals and conference proceedings on robotics and mind control technology. We primarily focus on providing an overview of commercially available robots and prototype research-stage humanoid robots in addition to mind control humanoid robot systems. First, a history and overview of the humanoid robot is presented. Then, typical mind control humanoid robot systems are described, including the relevant brain-computer interface and the whole control framework. Finally, the remaining research challenges in the field of humanoid robot safety are summarized.


2015 ◽  
Vol 137 (06) ◽  
pp. S2-S6
Author(s):  
Luis Sentis

This article discusses the various researches being undertaken to study and develop Whole-Body Operational Space Control (WBOSC). The WBOSC emerges as a capable framework for real-time unified control of motion and force of humanoid robots. It could theoretically outperform high-speed industrial manipulators while providing the grounds for new types of service-oriented applications that require contact, by exploiting the rigid body dynamics of systems. By relying on joint torque sensors, WBOSC opens up the potential to interact with the physical environment using any part of the robot’s body while regulating the effective mechanical impedances to safe values. With ControlIt!, the developers provide a strict and easy way to use the WBOSC API consisting of compound tasks which define the operational space, and constraint sets that define the contacts with the environment as well as dependent degrees of freedom. ControlIt! is easy to connect to high level planners.


Robotica ◽  
2008 ◽  
Vol 26 (5) ◽  
pp. 667-677 ◽  
Author(s):  
Jaeheung Park ◽  
Oussama Khatib

SUMMARYThis paper addresses the problem of contact force control for multiple contacts distributed over multiple links in a robot. This is of importance when performing complex tasks in unstructured environment, particularly in humanoid robot applications. The proposed multicontact control framework provides a new way of defining the operational space coordinates, which facilitates the specification of multiple contact control. The contact force space on multiple links is constructed as an operational space for the highest priority task. Motion control, given lower priority, can be executed using the rest of degree of freedom within the null-space of the force control. The dynamic control structure, then, provides a means to control each contact force and motion independently. This dynamic decoupling enables each contact force controller to utilize linear control theories. In particular, the contact force controllers adopt full state feedback control and estimation methods to produce robust performance with respect to modeling and parameter uncertainties. The effectiveness of the multiple contact control framework was demonstrated using a PUMA560 manipulator, with multiple contacts on the end-effector and third link. The demonstrated tasks involved controlling each of the contact forces with null-space motion.


2013 ◽  
Vol 10 (03) ◽  
pp. 1350012 ◽  
Author(s):  
MILUTIN NIKOLIĆ ◽  
BRANISLAV BOROVAC ◽  
MIRKO RAKOVIĆ ◽  
SRÐAN SAVIĆ

Starting from the operational space and task prioritization framework, presented in [L. Sentis and O. Khatib, Task-oriented control of humanoid robots through prioritization, in Proc. IEEE-Robotics and Autonomous Systems/RSJ International Conf. Humanoid Robots, Santa Monica, CA, USA, November 2004.], this paper proposes an extension and improvement of this approach, to make it applicable to nonholonomic tasks and systems. For the tasks where inequality type conditions have to be fulfilled, such solutions are obtained to ensure as small as possible movements at the joints, while keeping the actuators' driving torques between saturation limits. Having in mind that a prerequisite for realization of any task by biped robot is the maintenance of its upright position, this issue is also in the focus of our study. Instead of keeping the zero-moment point (ZMP) at an exact position, dynamic balance was ensured by allowing the ZMP to be anywhere within the support area. Since the condition for ZMP position is relaxed a smaller number of joints are engaged in the task realization, which enables more tasks to be handled simultaneously. Simulations were performed, and the results proved the validity of the proposed approach. When disturbance was applied compensation behavior emerged.


Author(s):  
Si Zhang ◽  
Jinglong Wu ◽  
Qiang Huang

This paper provides a review of humanoid robots and mind control humanoid robots. Information was obtained mainly from journals and conference proceedings on robotics and mind control technology. We primarily focus on providing an overview of commercially available robots and prototype research-stage humanoid robots in addition to mind control humanoid robot systems. First, a history and overview of the humanoid robot is presented. Then, typical mind control humanoid robot systems are described, including the relevant brain-computer interface and the whole control framework. Finally, the remaining research challenges in the field of humanoid robot safety are summarized.


Author(s):  
Siavash Rezazadeh ◽  
Robert D. Gregg

Although dynamic walking methods have had notable successes in control of bipedal robots in the recent years, still most of the humanoid robots rely on quasi-static Zero Moment Point controllers. This work is an attempt to design a highly stable controller for dynamic walking of a human-like model which can be used both for control of humanoid robots and prosthetic legs. The method is based on using time-based trajectories that can induce a highly stable limit cycle to the bipedal robot. The time-based nature of the controller motivates its use to entrain a model of an amputee walking, which can potentially lead to a better coordination of the interaction between the prosthesis and the human. The simulations demonstrate the stability of the controller and its robustness against external perturbations.


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