Results 61 to 70 of about 858,291 (308)

Motion Planning Networks [PDF]

open access: yes2019 International Conference on Robotics and Automation (ICRA), 2019
Fast and efficient motion planning algorithms are crucial for many state-of-the-art robotics applications such as self-driving cars. Existing motion planning methods become ineffective as their computational complexity increases exponentially with the dimensionality of the motion planning problem.
Qureshi, Ahmed H.   +3 more
openaire   +2 more sources

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

open access: yesMolecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg   +43 more
wiley   +1 more source

Deep Visual Foresight for Planning Robot Motion

open access: yes, 2017
A key challenge in scaling up robot learning to many skills and environments is removing the need for human supervision, so that robots can collect their own data and improve their own performance without being limited by the cost of requesting human ...
Finn, Chelsea, Levine, Sergey
core   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

open access: yesMolecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix   +13 more
wiley   +1 more source

Oriented robot motion planning in Riemannian manifolds

open access: yes, 2019
We consider the problem of robot motion planning in an oriented Riemannian manifold as a topological motion planning problem in its oriented frame bundle.
Mescher, Stephan
core   +1 more source

Differentiable Task Assignment and Motion Planning [PDF]

open access: green, 2023
Jimmy Envall, Roi Poranne, Stelian Coros
openalex   +1 more source

Dietary nitrate and nitrite protect against doxorubicin‐induced cardiac fibrosis and oxidative protein damage in tumor‐bearing mice

open access: yesFEBS Open Bio, EarlyView.
Chemotherapies such as doxorubicin can have toxic effects on healthy cardiovascular/heart tissue. Following up on a doxorubicin toxicity study in mice without tumors where nitrate water was cardioprotective (lessened toxicity), this study with tumor‐bearing mice undergoing doxorubicin treatment showed no negative effect of nitrate and nitrite on drug ...
Rama D. Yammani   +7 more
wiley   +1 more source

The Critical Radius in Sampling-based Motion Planning

open access: yes, 2018
We develop a new analysis of sampling-based motion planning in Euclidean space with uniform random sampling, which significantly improves upon the celebrated result of Karaman and Frazzoli (2011) and subsequent work.
Kleinbort, Michal, Solovey, Kiril
core   +1 more source

A Unifying Variational Framework for Gaussian Process Motion Planning [PDF]

open access: green, 2023
Lucas Cosier   +7 more
openalex   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

open access: yesFEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy