Search Results - "sampling-based algorithm"

Incremental sampling-based algorithm for risk-aware planning under motion uncertainty by Wei Liu, Ang, Marcelo H.

“…This paper considers the problem of motion planning for linear systems subject to Gaussian motion noise and proposes a risk-aware planning algorithm: CC-RRT*-D…”
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KDF: Kinodynamic Motion Planning via Geometric Sampling-Based Algorithms and Funnel Control by Verginis, Christos K., Dimarogonas, Dimos V., Kavraki, Lydia E.

“… The considered systems evolve subject to complex, nonlinear, and uncertain dynamics (also known as differential constraints…”
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A review of recent trend in motion planning of industrial robots by Tamizi, Mehran Ghafarian, Yaghoubi, Marjan, Najjaran, Homayoun

“…Motion planning is an integral part of each robotic system. It is critical to develop an effective motion in order to achieve a successful performance. The…”
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Planning and control of multi-robot-object systems under temporal logic tasks and uncertain dynamics by Verginis, Christos K., Kantaros, Yiannis, Dimarogonas, Dimos V.

“… The robots and objects evolve subject to uncertain dynamics in an obstacle-cluttered environment…”
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Distributed Motion Coordination for Multirobot Systems Under LTL Specifications by Yu, Pian, Dimarogonas, Dimos V.

“… Based on the realistic assumptions that each robot is subject to both state and input constraints and can have only local view and local information, a fully distributed multirobot motion…”
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KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control by Verginis, Christos K, Dimarogonas, Dimos V, Kavraki, Lydia E

“… The considered systems evolve subject to complex, nonlinear, and uncertain dynamics (aka differential constraints…”
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A martingale approach and time-consistent sampling-based algorithms for risk management in stochastic optimal control by Vu Anh Huynh, Kogan, Leonid, Frazzoli, Emilio

“…In this paper, we consider a class of stochastic optimal control problems with risk constraints that are expressed as bounded probabilities of failure for…”
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Modelling recall-based competing risks data with k different models by Panwar, M. S., Yadav, C. P.

“…In competing risks model, subjects are exposed to failure due to more than one cause…”
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A Martingale Approach and Time-Consistent Sampling-based Algorithms for Risk Management in Stochastic Optimal Control by Huynh, Vu Anh, Kogan, Leonid, Frazzoli, Emilio

“…In this paper, we consider a class of stochastic optimal control problems with risk constraints that are expressed as bounded probabilities of failure for…”
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Models of Approximate Inference in Vision by Chattoraj, Ankani

“…To develop a complete understanding of visual perception, it is important to investigate the system at all three levels proposed by Marr: computational goal of…”
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Sampling-based Near Time-Optimal Trajectory Generation for Pneumatic Drives by Hoffmann, Kathrin, Baumgart, Michaela, Kanagalingam, Gajanan, Verl, Alexander, Sawodny, Oliver

“… There occur nonlinear state-dependent jerk constraints because the pressure dynamics are not negligibly fast, the air mass flow through the valves is subject to pressure-dependent constraints…”
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First Order Stochastic Optimization with Oblivious Noise by Diakonikolas, Ilias, Karmalkar, Sushrut, Park, Jongho, Tzamos, Christos

“… In our setting, in addition to random observation noise, the stochastic gradient may be subject to independent oblivious noise, which may not have bounded moments and is not necessarily centered…”
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Stealthy Terrain-Aware Multi-Agent Active Search by Bakshi, Nikhil Angad, Schneider, Jeff

“… We present the Stealthy Terrain-Aware Reconnaissance (STAR) algorithm, a multi-objective parallelized Thompson sampling-based algorithm that relies on a strong…”
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Planning and Control of Multi-Robot-Object Systems under Temporal Logic Tasks and Uncertain Dynamics by Verginis, Christos K, Kantaros, Yiannis, Dimarogonas, Dimos V

“… The robots and objects evolve subject to uncertain dynamics in an obstacle-cluttered environment…”
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Distributed motion coordination for multi-robot systems under LTL specifications by Pian Yu, Dimarogonas, Dimos V

“… Based on the realistic assumptions that each robot is subject to both state and input constraints and can have only local view and local information, a fully distributed multi-robot motion…”
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Stochastic Matching with Few Queries: \((1-\varepsilon)\) Approximation by Behnezhad, Soheil, Derakhshan, Mahsa, Hajiaghayi, MohammadTaghi

“…\). The maximum degree of \(Q\) can depend on \(p\), but not on the size of \(G\). This problem has been subject to extensive studies over the years and the approximation…”
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Voronoi Boundary Visibility for Efficient Path Planning by Al-Dahhan, Mohammed Rabeea Hashim, Schmidt, Klaus Werner

“…The subject of this paper is the computation of paths for mobile robots that navigate from a start position to a goal position in environments with static obstacles…”
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Motion Primitive Path Planning for Parametrically Uncertain Systems via the Koopman Operator by Gutow, Geordan Mihalick

“…This work considers the application of motion primitives to path planning and obstacle avoidance problems in which the system is subject to significant parametric and/or initial condition uncertainty…”
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A visibility-based pursuit-evasion game between two nonholonomic robots in environments with obstacles by Lozano, Eliezer, Becerra, Israel, Ruiz, Ubaldo, Bravo, Luis, Murrieta-Cid, Rafael

“… To determine the players’ motion policies and their trajectories–subject to differential constraints…”
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Semiparametric Bayesian Analysis of Survival Data by Sinha, Debajyoti, Dey, Dipak K.

“… Careful applications of some recently popular computational tools, including sampling-based algorithms, are used to find posterior estimates of several quantities of interest even when dealing…”
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