Results 21 to 30 of about 3,443 (123)
Autonomous Capabilities for Small Unmanned Aerial Systems Conducting Radiological Response: Findings from a High-fidelity Discovery Experiment [PDF]
This article presents a preliminary work domain theory and identifies autonomous vehicle, navigational, and mission capabilities and challenges for small unmanned aerial systems (SUASs) responding to a radiological disaster.
Duncan, Brittany, Murphy, Robin
core +2 more sources
Intrinsic universality and the computational power of self-assembly
This short survey of recent work in tile self-assembly discusses the use of simulation to classify and separate the computational and expressive power of self-assembly models.
Woods, Damien
core +2 more sources
Asymptotic constant-factor approximation algorithm for the Traveling Salesperson Problem for Dubins' vehicle [PDF]
This article proposes the first known algorithm that achieves a constant-factor approximation of the minimum length tour for a Dubins' vehicle through $n$ points on the plane.
Bullo, Francesco +2 more
core
Investigating the use of unmanned plant machinery on construction sites [PDF]
The UK Construction Sector has been estimated to contribute 8% of the UK’s GDP [1]. The worldwide recession has forced construction companies to introduce and adopt cost saving measures to increase productivity.
Barlow, Chris +8 more
core
Push & Pull: autonomous deployment of mobile sensors for a complete coverage
Mobile sensor networks are important for several strategic applications devoted to monitoring critical areas. In such hostile scenarios, sensors cannot be deployed manually and are either sent from a safe location or dropped from an aircraft.
Bartolini, N. +4 more
core +1 more source
This article is about Artin's braid group and its role in knot theory. We set ourselves two goals: (i) to provide enough of the essential background so that our review would be accessible to graduate students, and (ii) to focus on those parts of the ...
Birman, Joan S., Brendle, Tara E.
core +1 more source
Multimodal Deep Learning for Robust RGB-D Object Recognition
Robust object recognition is a crucial ingredient of many, if not all, real-world robotics applications. This paper leverages recent progress on Convolutional Neural Networks (CNNs) and proposes a novel RGB-D architecture for object recognition.
Burgard, Wolfram +4 more
core +1 more source
Experiments for Predictable Execution of GPU Kernels [PDF]
Multi-Processor Systems-on-Chip (MPSoC) platforms will definitely power various future autonomous machines. Due to the high complexity of such platforms, it is difficult to achieve timing predictability, reliability and efficient resource utilization at the
Hanzálek Z. +3 more
core
SBNet: Sparse Blocks Network for Fast Inference
Conventional deep convolutional neural networks (CNNs) apply convolution operators uniformly in space across all feature maps for hundreds of layers - this incurs a high computational cost for real-time applications.
Pokrovsky, Andrei +3 more
core +1 more source
Separation-Sensitive Collision Detection for Convex Objects [PDF]
We develop a class of new kinetic data structures for collision detection between moving convex polytopes; the performance of these structures is sensitive to the separation of the polytopes during their motion. For two convex polygons in the plane, let $
Erickson, Jeff +3 more
core +3 more sources

