Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292)
DOI: 10.1109/robot.2002.1013570
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Mobile manipulation of humanoid robots-optimal posture for generating large force based on statics

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Cited by 22 publications
(9 citation statements)
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“…An excellent example of a humanoid robot is Honda's Asimo [11,12] shown in Boston Dynamics has also demonstrated the effectiveness of bipedal motion with their robot PETMAN [14] (see Figure 1.6) which can even stabilize after encountering an unpredictable external force. PETMAN is an adaptation on the BigDog platform presented in the next subsection.…”
Section: Bipedal Platformsmentioning
confidence: 99%
“…An excellent example of a humanoid robot is Honda's Asimo [11,12] shown in Boston Dynamics has also demonstrated the effectiveness of bipedal motion with their robot PETMAN [14] (see Figure 1.6) which can even stabilize after encountering an unpredictable external force. PETMAN is an adaptation on the BigDog platform presented in the next subsection.…”
Section: Bipedal Platformsmentioning
confidence: 99%
“…Besides some typical jobs like lifting heavy loads, pushing objects [2] [3], moving on a slope or tough terrains or interacting with the external environment [4], different robotic postures of the upper body and the arms, such as the upper body bending quickly to forward, backward, or sidewards and the arms performing fast manipulations, will also lead to the instability of the whole robot. Even the mismatched motions between the upper body and the mobile base will cause the instability of the robot.…”
Section: Introductionmentioning
confidence: 99%
“…More recent research is concerned with the fusion of exteroceptive (vision [8], ultrasonic [9], sonar [10], or GPS [11]) sensor data for purposes of obtaining precise global positioning by periodically recalibrating the accumulated dead-reckoning error. In contrast, body orientation estimation has been investigated in the legged robot literature for high-DOF bipeds [12,13], whose stability and balance must be actively controlled by state feedback. There is some prior work on exteroceptive (vision based) [14][15][16] approaches to positioning for legged machines but no account of the legged odometry problem.…”
Section: Introductionmentioning
confidence: 99%