Results 61 to 70 of about 12,075 (277)
Articulated Robot Motion for Simultaneous Localization and Mapping (ARM-SLAM) [PDF]
A robot with a hand-mounted depth sensor scans a scene. When the robot's joint angles are not known with certainty, how can it best reconstruct the scene? In this work, we simultaneously estimate the joint angles of the robot and reconstruct a dense volumetric model of the scene.
Matthew Klingensmith +2 more
openaire +3 more sources
Three‐dimensional digital analysis of musteloid masticatory muscle architecture
Musteloids span an enormous breadth of dietary modes within a single superfamily. In this study, we utilize digital dissection techniques to reconstruct the internal 3D anatomy of muscles within the musteloid feeding apparatus, and explore how dietary specializations might alter the size, orientation, and curvature of fascicles therein.
Cassidy E. Davis +6 more
wiley +1 more source
ABSTRACT Digital transformation (DT) is increasingly recognised as essential for improving environmental performance in process‐intensive and hazardous sectors; however, the mechanisms by which digitalisation translates into green operational performance (GOP) and environmental accountability remain insufficiently investigated, particularly in ...
Amila Kasun Sampath Udage Kankanamge +2 more
wiley +1 more source
Localisation and Mapping Using a Laser Range Finder: A Goal-Seeking Approach [PDF]
In this paper we examine the problem of localisation and mapping of an unknown environment using data from a laser range finder. In order to support our method we detect landmarks in the environment using the same laser finder.
Diamantas, Sotirios, Crowder, Richard
core +2 more sources
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping [PDF]
We present a Deep Learning based system for the twin tasks of localization and obstacle avoidance essential to any mobile robot. Our system learns from conventional geometric SLAM, and outputs, using a single camera, the topological pose of the camera in an environment, and the depth map of obstacles around it. We use a CNN to localize in a topological
Punarjay Chakravarty +2 more
openaire +3 more sources
Greens in Regulation: Biodiversity Strategy Implementation Across the Golf Industry
ABSTRACT Although much of the business and biodiversity literature focuses on extractive industries, we turn our attention to the golf industry. Golf courses occupy millions of acres globally, yet biodiversity strategy implementation across the golf industry remains understudied.
Jordan P. Howell, Jordan Moore
wiley +1 more source
ABSTRACT While much research stresses the importance of stakeholder involvement and inter‐organizational collaboration in sustainable business model innovation, less is known about the dynamics and actor roles of these collaborative processes. This article investigates one particular role in the process: the orchestrator, a role taken by secondary ...
Leonie Schlüter
wiley +1 more source
Mobile robot localization algorithm based on multi-sensor information fusion
In order to effectively reduce the uncertainty error of mobile robot localization with a single sensor and improve the accuracy and robustness of robot localization and mapping, a mobile robot localization algorithm based on multi-sensor information ...
WANG Ming-yi, HE Li-le, LI Yu, SUO Chao
doaj
ABSTRACT The ESG Controversies Index provided by Thomson Reuters (Refinitiv) has been widely used in sustainability, finance, and corporate governance research as a proxy for firms' exposure to environmental, social, and governance controversies. However, a number of published studies appear to misinterpret the index by reversing its underlying scale ...
Haitham Nobanee +3 more
wiley +1 more source
Avoiding negative depth in inverse depth bearing-only SLAM [PDF]
In this paper we consider ways to alleviate negative estimated depth for the inverse depth parameterisation of bearing-only SLAM. This problem, which can arise even if the beacons are far from the platform, can cause catastrophic failure of the filter.We
Parsley, MP +3 more
core +1 more source

