Unsupervised feature learning for RGB-D based object recognition
Recently introduced RGB-D cameras are capable of providing high quality synchronized
videos of both color and depth. With its advanced sensing capabilities, this technology …
videos of both color and depth. With its advanced sensing capabilities, this technology …
Waalbot II: Adhesion recovery and improved performance of a climbing robot using fibrillar adhesives
This paper presents the design and optimization of a wall-climbing robot along with the
incorporation of autonomous adhesion recovery and a motion planning implementation. The …
incorporation of autonomous adhesion recovery and a motion planning implementation. The …
[HTML][HTML] Extracting semantic information from visual data: A survey
The traditional environment maps built by mobile robots include both metric ones and
topological ones. These maps are navigation-oriented and not adequate for service robots …
topological ones. These maps are navigation-oriented and not adequate for service robots …
3d navigation mesh generation for path planning in uneven terrain
We present a 3D mesh surface navigation system for mobile robots. This system uses a 3D
point cloud to reconstruct a triangle mesh of the environment in real time that is enriched …
point cloud to reconstruct a triangle mesh of the environment in real time that is enriched …
Learning hierarchical sparse features for RGB-(D) object recognition
Recently introduced RGB-D cameras are capable of providing high quality synchronized
videos of both color and depth. With its advanced sensing capabilities, this technology …
videos of both color and depth. With its advanced sensing capabilities, this technology …
Autonomous legged hill and stairwell ascent
This paper documents near-autonomous negotiation of synthetic and natural climbing
terrain by a rugged legged robot, achieved through sequential composition of appropriate …
terrain by a rugged legged robot, achieved through sequential composition of appropriate …
Automatic expert system for 3D terrain reconstruction based on stereo vision and histogram matching
This paper proposes an automatic expert system for 3D terrain reconstruction and automatic
intensity correction in stereo pairs of images based on histogram matching. Different …
intensity correction in stereo pairs of images based on histogram matching. Different …
Real-time autonomous 3D navigation for tracked vehicles in rescue environments
The paper presents a novel framework for 3D autonomous navigation for tracked vehicles.
The framework takes care of clustering and segmentation of point clouds, traversability …
The framework takes care of clustering and segmentation of point clouds, traversability …
Hybrid incremental learning of new data and new classes for hand-held object recognition
Intelligence technology is an important research area. As a very special yet important case
of object recognition, hand-held object recognition plays an important role in intelligence …
of object recognition, hand-held object recognition plays an important role in intelligence …
Simultaneous localization, mapping, and manipulation for unsupervised object discovery
We present an unsupervised framework for simultaneous appearance-based object
discovery, detection, tracking and reconstruction using RGBD cameras and a robot …
discovery, detection, tracking and reconstruction using RGBD cameras and a robot …