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Opportunistic routing is a multi-hop routing scheme which allows for selection of the best immediately available relay. In blind opportunistic routing protocols, where transmitters blindly broadcast without knowledge of the surrounding…

Networking and Internet Architecture · Computer Science 2016-11-17 Joseph Blomer , Nihar Jindal

We continue the variational approach to parabolic trajectories introduced in our previous paper [5], which sees parabolic orbits as minimal phase transitions. We deepen and complete the analysis in the planar case for homogeneous singular…

Dynamical Systems · Mathematics 2015-05-30 Vivina Barutello , Susanna Terracini , Gianmaria Verzini

We establish minimax optimal rates of convergence for estimation in a high dimensional additive model assuming that it is approximately sparse. Our results reveal an interesting phase transition behavior universal to this class of high…

Statistics Theory · Mathematics 2015-03-11 Ming Yuan , Ding-Xuan Zhou

We present a numerical method to compute the optimal maintenance time for a complex dynamic system applied to an example of maintenance of a metallic structure subject to corrosion. An arbitrarily early intervention may be uselessly costly,…

Probability · Mathematics 2015-03-17 Benoîte de Saporta , François Dufour , Huilong Zhang , Charles Elegbede

Break of radial symmetry for interaction energy minimizers is a phenomenon where a radial interaction potential whose associated energy minimizers are never radially symmetric. Numerically, it has been frequently observed for various types…

Analysis of PDEs · Mathematics 2024-12-31 Ruiwen Shu

Complete reliance on the fitted model in response surface experiments is risky and relaxing this assumption, whether out of necessity or intentionally, requires an experimenter to account for multiple conflicting objectives. This work…

Methodology · Statistics 2023-06-16 Olga Egorova , Steven G. Gilmour

Although extensive research in emergency collision avoidance has been carried out for straight or curved roads in a highway scenario, a general method that could be implemented for all road environments has not been thoroughly explored.…

Robotics · Computer Science 2023-02-10 Xu Shang , Azim Eskandarian

We examine the effect of subdividing the potential barrier along the reaction coordinate on Kramers' escape rate for a model potential. Using the known supersymmetric potential approach, we show the existence of an optimal number of…

Condensed Matter · Physics 2009-10-28 Mulugeta Bekele , G. Ananthakrishna , N. Kumar

A hybrid continuum robot design is introduced that combines a proximal tendon-actuated section with a distal telescoping section comprised of permanent-magnet spheres actuated using an external magnet. While, individually, each section can…

Model predictive control (MPC) is a promising technique for motion cueing in driving simulators, but its high computation time limits widespread real-time application. This paper proposes a hybrid algorithm that combines filter-based and…

Robotics · Computer Science 2023-09-06 Vishrut Jain , Andrea Lazcano , Riender Happee , Barys Shyrokau

The objective of the paper is to establish a computable upper bound for the almost sure convergence rate for a class of ratio consensus algorithms defined via column-stochastic matrices. Our result extends the works of Iutzeler et al.…

Optimization and Control · Mathematics 2022-04-06 Balázs Gerencsér

This comment presents the results of using chance-constrained model predictive control (MPC) to solve a one-horizon benchmark collision avoidance problem.

Robotics · Computer Science 2020-06-05 Hai Zhu , Javier Alonso-Mora

Trajectories are optimized for a two-dimensional simplified skateboarding system to allow it to perform a fundamental skateboarding trick called an "ollie". A methodology for generating trick trajectories by controlling the position of a…

Robotics · Computer Science 2023-10-19 Michael Burgess

A continuous-time random walk in the quarter plane with homogeneous transition rates is considered. Given a non-negative reward function on the state space, we are interested in the expected stationary performance. Since a direct derivation…

Probability · Mathematics 2017-08-31 Xinwei Bai , Jasper Goseling

Many motion planning algorithms for automated driving require estimating the probability of collision (POC) to account for uncertainties in the measurement and estimation of the motion of road users. Common POC estimation techniques often…

Robotics · Computer Science 2026-01-22 Leon Tolksdorf , Arturo Tejada , Christian Birkner , Nathan van de Wouw

This work considers a Motion Planning Problem with Dynamic Obstacles (MPDO) in 2D that requires finding a minimum-arrival-time collision-free trajectory for a point robot between its start and goal locations amid dynamic obstacles moving…

Robotics · Computer Science 2022-06-03 Zhongqiang Ren , Sivakumar Rathinam , Howie Choset

In many modern astronomical facilities, multi-object telescopes are crucial instruments. Most of these telescopes have thousands of robotic fiber positioners(RFPs) installed on their focal plane, sharing an overlapping workspace. Collisions…

Robotics · Computer Science 2024-09-12 Baolong Chen , Jianping Wang , Zhigang Liu , Zengxiang Zhou , Hongzhuan Hu , Feifan Zhang

The increasing wireless communication capabilities of vehicles creates opportunities for more efficient intersection management strategies. One promising approach is the replacement of traffic lights with a system wherein vehicles run…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-20 Kaya Alpturer , Joseph Y. Halpern , Ron van der Meyden

Cooperative robots can significantly assist people in their productive activities, improving the quality of their works. Collision detection is vital to ensure the safe and stable operation of cooperative robots in productive activities. As…

Robotics · Computer Science 2023-12-11 Yingjie Wu , Guohui Wang , Shanyan Chen , Zhiping Shi , Yong Guan , Ximeng Li

The fitness level method is a popular tool for analyzing the hitting time of elitist evolutionary algorithms. Its idea is to divide the search space into multiple fitness levels and estimate lower and upper bounds on the hitting time using…

Neural and Evolutionary Computing · Computer Science 2024-04-02 Jun He , Yuren Zhou
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