15.3.1.6 Legged Locomotion Robots, Assistants

Chapter Contents (Back)
Legged Locomotion. Autonomous Vehicle, Systems. A lot of the Robocup Soccer work would fit here.
See also Wearable Exoskeleton.
See also Walking, Gait Recognition, Gait Analysis.

Fujita, M.[Masahiro], Veloso, M.M.[Manuela M.], Uther, W.[William], Asada, M.[Minoru], Kitano, H.[Hiroaki], Hugel, V.[Vincent], Bonnin, P.[Patrick], Bouramoue, J.C.[Jean-Christophe], Blazevic, P.[Pierre],
Vision, Strategy, and Localization Using the Sony Legged Robots at RoboCup-98,
AIMag(21), No. 1, Spring 2000, pp. 47-56. 0009
BibRef

Martínez, E.[Elisa], Torras, C.[Carme],
Qualitative vision for the guidance of legged robots in unstructured environments,
PR(34), No. 8, August 2001, pp. 1585-1599.
Elsevier DOI 0105
BibRef

Echegoyen, Z., Lopez-Guede, J.M., Fernandez-Gauna, B., Graña, M.,
Visual Servoing of Legged Robots,
JMIV(42), No. 2-3, February 2012, pp. 196-211.
WWW Link. 1202
BibRef

Portugal, D., Rocha, R.P.,
Performance Estimation and Dimensioning of Team Size for Multirobot Patrol,
IEEE_Int_Sys(32), No. 6, November 2017, pp. 30-38.
IEEE DOI 1801
Estimation, Legged locomotion, Materials requirements planning, Multi-robot systems, Robot sensing systems, Trajectory, team dimensioning BibRef

Pissaloux, E.E., Velázquez, R., Maingreaud, F.,
A New Framework for Cognitive Mobility of Visually Impaired Users in Using Tactile Device,
HMS(47), No. 6, December 2017, pp. 1040-1051.
IEEE DOI 1712
Computational modeling, Data mining, Data models, Legged locomotion, Space exploration, Urban areas, visually impaired people (VIP) BibRef

Mancini, A., Frontoni, E., Zingaretti, P.,
Mechatronic System to Help Visually Impaired Users During Walking and Running,
ITS(19), No. 2, February 2018, pp. 649-660.
IEEE DOI 1802
Cameras, Haptic interfaces, Legged locomotion, Navigation, Vibrations, Visualization, Impaired people, embedded systems, visual navigation BibRef

Guizzo, E., Ackerman, E.,
$74,500 will fetch you a spot: For the price of a luxury car, you can now buy a very smart, very capable, very yellow robot dog,
Spectrum(57), No. 8, August 2020, pp. 11-11.
IEEE DOI 2008
Weapons, Automobiles, Robots, Legged locomotion BibRef

Lee, G.[Geunho], Ogata, K.[Kouki], Li, C.H.[Chun-He],
Autonomous Shape-Variable Crawler: One-Dimensional Displacement Coordination for Constant Upper Frame Posture,
ITS(23), No. 9, September 2022, pp. 14968-14977.
IEEE DOI 2209
For locomotion on rough surfaces. Crawlers, Robot kinematics, Legged locomotion, Belts, Transportation, Shape, Pulleys, Crawler-based vehicle, uneven terrain BibRef

Xiong, X.F.[Xiao-Feng], Manoonpong, P.[Poramate],
No Need for Landmarks: An Embodied Neural Controller for Robust Insect-Like Navigation Behaviors,
Cyber(52), No. 12, December 2022, pp. 12893-12904.
IEEE DOI 2212
Navigation, Robot sensing systems, Robots, Robot localization, Legged locomotion, Insects, Biomimetics, Backward homing (BH), self-localization BibRef

Huang, C.X.[Chang-Xin], Wang, G.R.[Guang-Run], Zhou, Z.B.[Zhi-Bo], Zhang, R.H.[Rong-Hui], Lin, L.[Liang],
Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion,
PAMI(45), No. 6, June 2023, pp. 7686-7695.
IEEE DOI 2305
Robots, Legged locomotion, Task analysis, Training, Dynamics, Trajectory, Magnetic heads, Deep reinforcement learning, robotics, hybrid reward architecture BibRef


García, R.O.C.[R. Omar Chávez], Estrada, M.A.[Matthew A.], Ebrahimi, M.[Mohammadreza], Zuppichini, F.[Francesco], Gambardella, L.M.[Luca M.], Giusti, A.[Alessandro], Ijspeert, A.J.[Auke J.],
Gait-dependent Traversability Estimation on the k-rock2 Robot,
ICPR22(4204-4210)
IEEE DOI 2212
Training, Legged locomotion, Estimation, Performance gain, Motion capture, Data models BibRef

Fu, Z.P.[Zi-Peng], Kumar, A.[Ashish], Agarwal, A.[Ananye], Qi, H.Z.[Hao-Zhi], Malik, J.[Jitendra], Pathak, D.[Deepak],
Coupling Vision and Proprioception for Navigation of Legged Robots,
CVPR22(17252-17262)
IEEE DOI 2210
BibRef
And: VOCVALC22(1894-1904)
IEEE DOI 2210
BibRef
And: MULA22(4620-4630)
IEEE DOI 2210
Legged locomotion, Navigation, Robot vision systems, Robot sensing systems, Generators, Sensors, Safety BibRef

Zhang, J.Y.[Jimu-Yang], Zheng, M.[Minglan], Boyd, M.[Matthew], Ohn-Bar, E.[Eshed],
X-World: Accessibility, Vision, and Autonomy Meet,
ICCV21(9742-9751)
IEEE DOI 2203
Legged locomotion, Autonomous systems, Navigation, Wheelchairs, Transfer learning, Benchmark testing, Datasets and evaluation, Vision for robotics and autonomous vehicles BibRef

Rath, P.K.[Prabin Kumar], Ramirez-Serrano, A.[Alejandro], Pratihar, D.K.[Dilip Kumar],
Moving object detection for humanoid navigation in cluttered dynamic indoor environments using a confidence tracking approach,
DICTA20(1-7)
IEEE DOI 2201
Legged locomotion, Navigation, Dynamics, Humanoid robots, Object detection, Robot sensing systems, Sensors, Relative motion, SLAM BibRef

Tang, J., Hu, M., Li, G., Li, Q., Zhang, J., Zhou, X., Zhai, G.,
Special Cane with Visual Odometry for Real-time Indoor Navigation of Blind People,
VCIP20(255-255)
IEEE DOI 2102
Indoor navigation, Real-time systems, Blindness, Legged locomotion, Cameras, Visual odometry, Man-machine systems, obstacle avoidance, visually assistive device BibRef

Sattar, J.[Junaed], Dudek, G.[Gregory],
A Vision-Based Control and Interaction Framework for a Legged Underwater Robot,
CRV09(329-336).
IEEE DOI 0905
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Autonomous Vehicles, Surveys, Collections, Overviews .


Last update:Apr 18, 2024 at 11:38:49