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A risk-averse optimization approach to human-robot collaboration in robotic fruit harvesting
The marketability and adoption of robotic systems in agriculture is largely limited by
economic and technology barriers that prevent highly efficient autonomous operations at a …
economic and technology barriers that prevent highly efficient autonomous operations at a …
Collaborative human-autonomy semantic sensing through structured POMDP planning
Autonomous unmanned systems and robots must be able to actively leverage all available
information sources—including imprecise but readily available semantic observations …
information sources—including imprecise but readily available semantic observations …
Structured synthesis and compression of semantic human sensor models for Bayesian estimation
We consider the problem of fusing human-generated semanticsoft sensor'data with
conventionalhard sensor'data to augment Bayesian state estimators. This requires modeling …
conventionalhard sensor'data to augment Bayesian state estimators. This requires modeling …
Human-assisted RRT for path planning in urban environments
A human-RRT (Rapidly-exploring Random Tree) collaborative algorithm is presented for
path planning in urban environments. The well-known RRT algorithm is modified for efficient …
path planning in urban environments. The well-known RRT algorithm is modified for efficient …
Fully Bayesian human–machine data fusion for robust online dynamic target characterization
This work examines the problem of fusing human operator observations with probabilistic
information extracted by an automated data fusion system, in the context of dynamic …
information extracted by an automated data fusion system, in the context of dynamic …
Fully bayesian human-machine data fusion for robust dynamic target surveillance and characterization
This work examines the problem of rigorously characterizing and fusing observations
provided by human operators with probabilistic information extracted by an automated data …
provided by human operators with probabilistic information extracted by an automated data …
Probabilistic semantic data association for collaborative human-robot sensing
Humans cannot always be treated as oracles for collaborative sensing. Robots, thus, need
to maintain beliefs over unknown world states when receiving semantic data from humans …
to maintain beliefs over unknown world states when receiving semantic data from humans …
Human-machine teaming for effective estimation and path planning
While traditional sensors provide accurate measurements of quantifiable information,
humans provide better qualitative information and holistic assessments. Sensor fusion …
humans provide better qualitative information and holistic assessments. Sensor fusion …
Interactive Inference for Autonomous Robotic Exploration of Uncertain Remote Environments
S Wakayama - 2024 - search.proquest.com
Robotic search and exploration in uncertain remote environments (eg outer planets and
undersea) at present requires teams of engineers and scientists to directly manipulate …
undersea) at present requires teams of engineers and scientists to directly manipulate …
Active Collaborative Planning and Sensing in Human-Robot Teams
CL Burks - 2020 - search.proquest.com
As they become increasing capable, autonomous robots can further benefit from human-
provided semantic characterizations of uncertain task environments and states. However …
provided semantic characterizations of uncertain task environments and states. However …