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Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

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<strong>Session</strong> WedCT4 Fenix 3 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 11:00–12:30<br />

Humanoid Robots IV<br />

Chair Kyungshik Roh, Samsung Electronics Co., Ltd<br />

Co-Chair Christian Ott, German Aerospace Center (DLR)<br />

11:00–11:15 WedCT4.1<br />

Development of the Lower Limbs<br />

for a Humanoid Robot<br />

Joohyung Kim, Younbaek Lee, Sunggu Kwon, Keehong Seo,<br />

Hoseong Kwak, Heekuk Lee, and Kyungshik Roh<br />

Samsung Advanced Institute of Technology, South Korea<br />

• We Present an overview of developing a<br />

novel biped walking machine for a<br />

humanoid robot Roboray.<br />

• Torque sensors are integrated at each<br />

joint of 6-DOF legs.<br />

• A new tendon type joint module is used<br />

in a pitch joint drive module, which is<br />

highly back-drivable.<br />

• Control system is decentralized using<br />

small controller boards named Smart<br />

Driver.<br />

Roboray and its lower limbs<br />

without cover.<br />

11:30–11:45 WedCT4.3<br />

Optimal Gait Primitives for Dynamic<br />

Bipedal Locomotion<br />

Bokman Lim, Jusuk Lee, Joohyung Kim, Minhyung Lee,<br />

Hoseong Kwak, Sunggu Kwon, Heekuk Lee,<br />

Woong Kwon, and Kyungshik Roh<br />

Samsung Advanced Institute of Technology, Korea<br />

• A movement generation framework for<br />

dynamic bipedal locomotion is proposed.<br />

• A set of parametric gait primitives is first<br />

constructed using the dynamics-based<br />

movement optimization algorithm.<br />

• Dynamic walking to follow the arbitrary<br />

path is then generated online via<br />

sequentially composing primitive motions.<br />

• Proposed method is applied to a torque<br />

controlled robot platform, Roboray.<br />

• Results show that dynamic gaits are<br />

humanlike and efficient compared to the<br />

conventional knee bent walkers.<br />

Roboray<br />

12:00–12:15 WedCT4.5<br />

Robust Descriptors for 3D Point Clouds using<br />

Geometric and Photometric Local Feature<br />

Hyoseok Hwang, Seungyong Hyung, Sukjune Yoon and<br />

Kyungshik Roh<br />

Samsung Advanced Institute of Technology<br />

Samsung Electronics<br />

Republic of Korea<br />

• We propose robust descriptors called<br />

GPLF(Geometric and Photometric Local<br />

Feature) for object recognition and pose<br />

estimation<br />

• The proposed descriptors simultaneously<br />

use geometric and photometric features of<br />

point clouds from RGB-D camera<br />

• GPLF has robust discriminative ability<br />

regardless of characteristics such as<br />

shapes or appearances of objects.<br />

• The experimental results show the<br />

recognition accuracy of the proposed<br />

descriptors is higher than other<br />

approaches which use a single feature<br />

The proposed descriptors of<br />

3D point clouds<br />

11:15–11:30 WedCT4.2<br />

On-board Odometry Estimation<br />

for 3D Vision-based SLAM of Humanoid Robot<br />

SungHwan Ahn, Sukjune Yoon, Seungyong Hyung,<br />

Nosan Kwak and Kyung Shik Roh<br />

Samsung Advanced Institute of Technology (SAIT),<br />

Samsung Electronics, Korea<br />

• Vision-based 3D motion estimation<br />

method for dynamic walking robots<br />

accompanying large swaying motion and<br />

uncertainty in camera movement.<br />

• On-board odometry filter fuses kinematic<br />

odometry, visual odometry, and raw IMU<br />

data.<br />

• Vision-based SLAM utilizes the fused<br />

odometry, and it improves the SLAM<br />

estimates by compensating motion errors.<br />

• Experiments verifies the method with the<br />

biped humanoid robot, Roboray, designed<br />

by Samsung.<br />

11:45–12:00 WedCT4.4<br />

Towards Natural Bipedal Walking: Virtual Gravity<br />

Compensation and Capture Point Control<br />

Keehong Seo, Joohyung Kim, Kyungshik Roh<br />

Samsung Advanced Institute of Technology, South Korea<br />

• A pose controller is proposed that<br />

compensates Cartesian pose errors for a<br />

bipedal robot.<br />

• Virtual gravity compensation (VGC) is<br />

developed to convert 6-dof Cartesian force<br />

to joint torques in the legs.<br />

• A walking algorithm using VGC and<br />

capture point control produces natural<br />

and robust walking gait.<br />

• Tested with Roboray, humanoid from<br />

Samsung Electronics, to balance on<br />

slopes, to walk over bumps, and to<br />

recover from pushes while walking.<br />

• Resulting gait shows clear heel-landing<br />

and toe-off motions as humans do.<br />

<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />

–142–<br />

Figure caption is optional,<br />

use Arial Narrow 20pt<br />

12:15–12:30 WedCT4.6<br />

Active Stabilization of a Humanoid Robot for<br />

Impact Motions with Unknown Reaction Forces<br />

Seung-Joon Yi and Daniel D. lee<br />

GRASP Lab, University of Pennsylvania, USA<br />

Byoung-Tak Zhang<br />

BI Lab, Seoul National University, Korea<br />

Dennis Hong<br />

RoMeLa Lab, Virginia Tech, USA<br />

• Humans utilize whole body impact<br />

motions to generate large forces<br />

• Uncertainty in the ensuing reaction<br />

forces can lead robot to instability<br />

• A hierarchical push recovery<br />

controller is used along with<br />

simple robot model to reactively<br />

stabilize the robot against<br />

unknown reaction force<br />

• Implemented and tested on the<br />

DARwIn-OP small humanoid robot

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