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126
Voted
IJRR
2011
126views more  IJRR 2011»
14 years 10 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
150
Voted
IJRR
2011
78views more  IJRR 2011»
14 years 10 months ago
Online and Incremental Appearance-based SLAM in Highly Dynamic Environments
This paper presents a novel method for online and incremental appearance-based localization and mapping in a highly dynamic environment. Using position-invariant robust features (...
Aram Kawewong, Noppharit Tongprasit, Sirinart Tang...
161
Voted
IJRR
2011
174views more  IJRR 2011»
14 years 10 months ago
Bounding on rough terrain with the LittleDog robot
— In this paper we develop an RRT-based motion planner that achieved bounding in simulation with the LittleDog robot over extremely rough terrain. LittleDog is a quadruped robot ...
Alexander C. Shkolnik, Michael Levashov, Ian R. Ma...
153
Voted
IJRR
2011
210views more  IJRR 2011»
14 years 10 months ago
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates and are well-suited for use in many robot navigation tasks. However, correct data fusion...
Jonathan Kelly, Gaurav S. Sukhatme