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Humanoid robot

About: Humanoid robot is a research topic. Over the lifetime, 14387 publications have been published within this topic receiving 243674 citations. The topic is also known as: 🤖.


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Proceedings ArticleDOI
16 May 2016
TL;DR: A generic and efficient approach to generate dynamically consistent motions for under-actuated systems like humanoid or quadruped robots, able to compute a stable trajectory of the center of mass of the robot along with the angular momentum, for any given configuration of contacts.
Abstract: This paper presents a generic and efficient approach to generate dynamically consistent motions for under-actuated systems like humanoid or quadruped robots. The main contribution is a walking pattern generator, able to compute a stable trajectory of the center of mass of the robot along with the angular momentum, for any given configuration of contacts (e.g. on uneven, sloppy or slippery terrain, or with closed-gripper). Unlike existing methods, our solver is fast enough to be applied as a model-predictive controller. We then integrate this pattern generator in a complete framework: an acyclic contact planner is first used to automatically compute the contact sequence from a 3D model of the environment and a desired final posture; a stable walking pattern is then computed by the proposed solver; a dynamically-stable whole-body trajectory is finally obtained using a second-order hierarchical inverse kinematics. The implementation of the whole pipeline is fast enough to plan a step while the previous one is executed. The interest of the method is demonstrated by real experiments on the HRP-2 robot, by performing long-step walking and climbing a staircase with handrail support.

141 citations

Proceedings ArticleDOI
01 Nov 2013
TL;DR: This paper presents new methods to control highspeed running in a simulated humanoid robot at speeds of up to 6.5 m/s using a 3D spring-loaded inverted pendulum (SLIP) template model, the first time that a SLIP model has been embedded into a whole-body humanoid model.
Abstract: This paper presents new methods to control highspeed running in a simulated humanoid robot at speeds of up to 6.5 m/s. We present methods to generate compliant target CoM dynamics through the use of a 3D spring-loaded inverted pendulum (SLIP) template model. A nonlinear least-squares optimizer is used to find periodic trajectories of the 3D-SLIP offline, while a local deadbeat SLIP controller provides reference CoM dynamics online at real-time rates to correct for tracking errors and disturbances. The local deadbeat controller employs common foot placement strategies that are automatically generated by a local analysis of the 3D-SLIP apex return map. A task-space controller is then applied online to select whole-body joint torques which embed these target dynamics into the humanoid. Despite the body of work on the 2D and 3D-SLIP models, to the best of the authors' knowledge, this is the first time that a SLIP model has been embedded into a whole-body humanoid model. When running at 3.5 m/s, the controller is shown to reject lateral disturbances of 40 N·s applied at the waist. A final demonstration shows the capability of the controller to stabilize running at 6.5 m/s, which is comparable with the speed of an Olympian in the 5000 meter run.

140 citations

Proceedings ArticleDOI
13 Oct 1998
TL;DR: This work extends a previous work on 2D biped locomotion using neural oscillators to 3D, introducing many more degrees of freedom and complexity in control and simplifying the internal neural mechanism.
Abstract: CPG (central pattern generator) and entrainment dynamics together form a promising framework for robust and adaptive behavior generation for a high degree of freedom system in unstructured environment. This paper investigates its possibility in the domain of biped robotic locomotion. We extend a previous work on 2D biped locomotion using neural oscillators to 3D, introducing many more degrees of freedom and complexity in control. While the complexity of the problem has been increased, we have simplified the internal neural mechanism compared to the original 2D work. Our fully dynamic 3D simulation experiments showed that our mechanism can generate 3D stable biped stepping motion as well as tolerance against external perturbations.

140 citations

Proceedings ArticleDOI
18 Apr 2005
TL;DR: A control system, which stabilizes running biped robot HRP-2LR, which consists of posture stabilization, inverted pendulum stabilization, contact torque control, impact absorbing control, foot vertical force control and torque distribution control.
Abstract: This article explains a control system, which stabilizes running biped robot HRP-2LR. The robot uses prescribed running pattern calculated by resolved momentum control, and a running controller stabilizes the system against disturbances. The running controller consists of posture stabilization, inverted pendulum stabilization, contact torque control, impact absorbing control, foot vertical force control and torque distribution control. Applying the proposed controller, HRP-2LR could successfully run with average speed of 0.16(m/s) repeating flight phase of 0.06 (s) and support phase of 0.3 (s).

140 citations

Proceedings ArticleDOI
09 May 2011
TL;DR: This work develops a general framework for inverse dynamics control and shows that these methods lead to very similar controllers, and generalizes recent whole-body controllers based on operational space approaches using kinematic projections to bring them closer to efficient practical implementations.
Abstract: Inverse dynamics controllers and operational space controllers have proved to be very efficient for compliant control of fully actuated robots such as fixed base manipulators. However legged robots such as humanoids are inherently different as they are underactuated and subject to switching external contact constraints. Recently several methods have been proposed to create inverse dynamics controllers and operational space controllers for these robots. In an attempt to compare these different approaches, we develop a general framework for inverse dynamics control and show that these methods lead to very similar controllers. We are then able to greatly simplify recent whole-body controllers based on operational space approaches using kinematic projections, bringing them closer to efficient practical implementations. We also generalize these controllers such that they can be optimal under an arbitrary quadratic cost in the commands.

140 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023253
2022759
2021573
2020647
2019801
2018921