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Author: Siddharth A. Oturkar Publisher: ISBN: Category : Languages : en Pages : 64
Book Description
Abstract: This thesis is concerned with a problem of balancing the humanoid robot after an external impact. Dynamic model of the humanoid robot is derived using Lagrangian dynamic formulation. Use of the maximum joint accelerations to reject disturbance is studied. In our approach, we propose the use of non-natural force like thruster on the torso of the humanoid robot for balance recovery. Mathematical simulation of derived dynamic model is performed using MATLAB. Plotted results prove the validity and usefulness of the proposed approach. We also show that, acceleration compensation and using thruster are complementary to each other. We prove that both techniques can be used together to reject large disturbances in minimum time.
Author: Siddharth A. Oturkar Publisher: ISBN: Category : Languages : en Pages : 64
Book Description
Abstract: This thesis is concerned with a problem of balancing the humanoid robot after an external impact. Dynamic model of the humanoid robot is derived using Lagrangian dynamic formulation. Use of the maximum joint accelerations to reject disturbance is studied. In our approach, we propose the use of non-natural force like thruster on the torso of the humanoid robot for balance recovery. Mathematical simulation of derived dynamic model is performed using MATLAB. Plotted results prove the validity and usefulness of the proposed approach. We also show that, acceleration compensation and using thruster are complementary to each other. We prove that both techniques can be used together to reject large disturbances in minimum time.
Author: Kaul, Lukas Sebastian Publisher: KIT Scientific Publishing ISBN: 3731509032 Category : Computers Languages : en Pages : 258
Book Description
Robustly maintaining balance on two legs is an important challenge for humanoid robots. The work presented in this book represents a contribution to this area. It investigates efficient methods for the decision-making from internal sensors about whether and where to step, several improvements to efficient whole-body postural balancing methods, and proposes and evaluates a novel method for efficient recovery step generation, leveraging human examples and simulation-based reinforcement learning.
Author: Amirhossein Hosseinmemar Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Active balancing of a humanoid robot is a challenging task due to the complexity of combining a walking gait, dynamic balancing, vision and high-level behaviors. My Ph.D research focuses on the active balancing and push recovery problems that allow inexpensive humanoid robots to balance while standing and walking, and to compensate for external forces. In this research, I have proposed a push recovery mechanism that employs two machine learning techniques, Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) to learn recovery step trajectories during push recovery using a closed-loop feedback control. I have implemented a 3D model using the Robot Operating System (ROS) and Gazebo. To reduce wear and tear on the real robot, I used this model for learning the recovery steps for different impact strengths and directions. I evaluated my approach in both in the real world and in simulation. All the real world experiments are performed by Polaris, a teen- sized humanoid robot in the Autonomous Agent Laboratory (AALab), University of Manitoba. The design, implementation, and evaluation of hardware, software, and kinematic models are discussed in this document.
Author: Benjamin Stephens Publisher: ISBN: Category : Robots Languages : en Pages : 180
Book Description
Abstract: "Humanoid robots represent the state of the art in complex robot systems. High performance controllers that can handle unknown perturbations will be required if complex robots are to one day interact safely with people in everyday environments. Analyzing and predicting full-body behaviors is difficult in humanoid robots because of the high number of degrees of freedom and unstable nature of the dynamics. This thesis demonstrates the use of simple models to approximate the dynamics and simplify the design of reactive balance controllers. These simple models define distinct balance recovery strategies and improve state estimation. Push Recovery Model Predictive Control (PR-MPC), an optimization-based reactive balance controller that considers future actions and constraints using a simple COM model, is presented. This controller outputs feasible controls which are realized by Dynamic Balance Force Control (DBFC), a force controller that produces full-body joint torques. Push recovery, walking, and other force-based tasks are presented both in simulation and in experiments on the Sarcos Primus hydraulic humanoid robot."
Author: Saurav Singh Publisher: ISBN: Category : Robots Languages : en Pages : 68
Book Description
"Biped robots have come a long way in imitating a human being's anatomy and posture. Standing balance and push recovery are some of the biggest challenges for such robots. This work presents a novel simplified model for a humanoid robot to recover from external disturbances. The proposed Linearized Double Inverted Pendulum, models the dynamics of a complex humanoid robot that can use ankle and hip recovery strategies while taking full advantage of the advances in controls theory research. To support this, an LQR based control architecture is also presented in this work. The joint torque signals are generated along with ankle torque constraints to ensure the Center of Pressure stays within the support polygon. Simulation results show that the presented model can successfully recover from external disturbances while using minimal effort when compared to other widely used simplified models. It optimally uses the the torso weight to generate angular momentum about the pelvis of the robot to counter-balance the effects of external disturbances. The proposed method was validated on simulated `TigerBot-VII', a humanoid robot."--Abstract.
Author: Yunhui Liu Publisher: CRC Press ISBN: 1439854882 Category : Medical Languages : en Pages : 343
Book Description
Robotic engineering inspired by biology—biomimetics—has many potential applications: robot snakes can be used for rescue operations in disasters, snake-like endoscopes can be used in medical diagnosis, and artificial muscles can replace damaged muscles to recover the motor functions of human limbs. Conversely, the application of robotics technology to our understanding of biological systems and behaviors—biorobotic modeling and analysis—provides unique research opportunities: robotic manipulation technology with optical tweezers can be used to study the cell mechanics of human red blood cells, a surface electromyography sensing system can help us identify the relation between muscle forces and hand movements, and mathematical models of brain circuitry may help us understand how the cerebellum achieves movement control. Biologically Inspired Robotics contains cutting-edge material—considerably expanded and with additional analysis—from the 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). These 16 chapters cover both biomimetics and biorobotic modeling/analysis, taking readers through an exploration of biologically inspired robot design and control, micro/nano bio-robotic systems, biological measurement and actuation, and applications of robotics technology to biological problems. Contributors examine a wide range of topics, including: A method for controlling the motion of a robotic snake The design of a bionic fitness cycle inspired by the jaguar The use of autonomous robotic fish to detect pollution A noninvasive brain-activity scanning method using a hybrid sensor A rehabilitation system for recovering motor function in human hands after injury Human-like robotic eye and head movements in human–machine interactions A state-of-the-art resource for graduate students and researchers in the fields of control engineering, robotics, and biomedical engineering, this text helps readers understand the technology and principles in this emerging field.
Author: Antonio Bicchi Publisher: Springer Science & Business Media ISBN: 354036224X Category : Technology & Engineering Languages : en Pages : 283
Book Description
The ?eld of robotics continues to ?ourish and develop. In common with general scienti?c investigation, new ideas and implementations emerge quite spontaneously and these are discussed, used, discarded or subsumed at c- ferences, in the reference journals, as well as through the Internet. After a little more maturity has been acquired by the new concepts, then archival publication as a scienti?c or engineering monograph may occur. The goal of the Springer Tracts in Advanced Robotics is to publish new developments and advances in the ?elds of robotics research – rapidly and informally but with a high quality. It is hoped that prospective authors will welcome the opportunity to publish a structured presentation of some of the emerging robotics methodologies and technologies. The edited volume by Antonio Bicchi, Henrik Christensen and Domenico Prattichizzo is the outcome of the second edition of a workshop jointly sponsored by the IEEE Control Systems Society and the IEEE Robotics and Automation Society. Noticeably, the previous volume was published in the Springer Lecture Notes on Control and Information Sciences. The authors are recognised as leading scholars internationally. A n- ber of challenging control problems on the forefront of today’s research in robotics and automation are covered, with special emphasis on vision, sensory-feedback control, human-centered robotics, manipulation, planning, ?exible and cooperative robots, assembly systems.
Author: Siddharth A. Oturkar
Author: Siddharth A. Oturkar
Author: Kaul, Lukas Sebastian
Author: Amirhossein Hosseinmemar
Author: Benjamin Stephens
Author: 張哲軒
Author: Saurav Singh
Author: 洪文謙
Author: Tyler John Matijevich
Author: Yunhui Liu
Author: Antonio Bicchi