標(biāo)題: Titlebook: Algorithmic Foundations of Robotics XII; Proceedings of the T Ken Goldberg,Pieter Abbeel,Lauren Miller Book 2020 Springer Nature Switzerlan [打印本頁] 作者: 萬圣節(jié) 時間: 2025-3-21 19:23
書目名稱Algorithmic Foundations of Robotics XII影響因子(影響力)
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書目名稱Algorithmic Foundations of Robotics XII網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Algorithmic Foundations of Robotics XII被引頻次學(xué)科排名
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書目名稱Algorithmic Foundations of Robotics XII讀者反饋
書目名稱Algorithmic Foundations of Robotics XII讀者反饋學(xué)科排名
作者: 知識 時間: 2025-3-21 20:53 作者: 溫和女孩 時間: 2025-3-22 01:13 作者: 使成核 時間: 2025-3-22 04:42
Cloud-based Motion Plan Computation for Power-Constrained Robots, robot the ability to adapt to changes between updates from the server. In our results, we show that with typical latency and bandwidth limitations, our method gains significant improvement in the responsiveness and quality of motion plans in interactive scenarios.作者: 木質(zhì) 時間: 2025-3-22 10:34
Generating Plans that Predict Themselves,ng robot plan from the overall task goal and the observed initial . actions in the plan. We contribute a method for generating .-predictable plans: we search for a full plan that accomplishes the task, but in which the first . actions make it as easy as possible to infer the remaining ones. The resu作者: GET 時間: 2025-3-22 16:45
,You Can’t Save all the Pandas: Impossibility Results for Privacy-Preserving Tracking, to the information available to the robot at the start — conditions we call initial I-state dependent cases. Quite naturally in the one-dimensional model, one may quantify sensing power by the number of perceptual (or output) classes available to the robot. The number of initial I-state dependent c作者: 和音 時間: 2025-3-22 19:13
Approximation Algorithms for Tours of Height-varying View Cones,n agriculture application. We further study its performance in simulation using randomly generated cone sets. Our results indicate that the performance of our algorithm is superior to standard solutions.作者: APRON 時間: 2025-3-22 23:29
Reactive Motion Planning in Uncertain Environments via Mutual Information Policies, on mutual information, returns a complete policy and a bound on the gap between the policy’s expected cost and the optimal. Finally, simulations are run on a flexible factory scenario to demonstrate the scalability of the proposed approach.作者: 假裝是你 時間: 2025-3-23 02:12 作者: 死貓他燒焦 時間: 2025-3-23 08:59 作者: 帳單 時間: 2025-3-23 12:44 作者: Free-Radical 時間: 2025-3-23 16:50 作者: MOT 時間: 2025-3-23 19:09
Christian Simhandl,Klaudia Mitterwachauerand homogenous sensors (e.g., accelerometer and magnetometer or multiple magnetometers). The algorithm was validated using Monte Carlo simulations for both large and small misalignments, with and without realistic sensor noise, and shows excellent convergence properties. The algorithm is demonstrate作者: Distribution 時間: 2025-3-24 02:12
Integration und Diskussion der Ergebnisse,vailable measurements falls below a certain critical threshold; furthermore, whenever exactness obtains, it is possible to . this fact a posteriori, thereby . the optimality of the recovered estimate. We develop a specialized optimization scheme for solving large-scale instances of this semidefinite作者: 煩躁的女人 時間: 2025-3-24 03:48
Depression und gelernte Hilflosigkeit robot the ability to adapt to changes between updates from the server. In our results, we show that with typical latency and bandwidth limitations, our method gains significant improvement in the responsiveness and quality of motion plans in interactive scenarios.作者: Chameleon 時間: 2025-3-24 06:46
Menschen, die Hand an sich legen,ng robot plan from the overall task goal and the observed initial . actions in the plan. We contribute a method for generating .-predictable plans: we search for a full plan that accomplishes the task, but in which the first . actions make it as easy as possible to infer the remaining ones. The resu作者: fibroblast 時間: 2025-3-24 13:28 作者: 明確 時間: 2025-3-24 16:27 作者: backdrop 時間: 2025-3-24 21:04 作者: 環(huán)形 時間: 2025-3-25 02:44 作者: MONY 時間: 2025-3-25 05:13
Multiple Start Branch and Prune Filtering Algorithm for Nonconvex Optimization,on. Many approaches have been developed to carry out such nonconvex optimization, but they suffer drawbacks including large computation time, require tuning of multiple unintuitive parameters and are unable to find multiple local/global minima. In this work we introduce multiple start branch and pru作者: expeditious 時間: 2025-3-25 09:31 作者: deriver 時間: 2025-3-25 13:47 作者: bizarre 時間: 2025-3-25 17:25 作者: indenture 時間: 2025-3-25 21:23
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group,of their pairwise relative transforms .. Examples of this class include the foundational problems of pose-graph simultaneous localization and mapping (SLAM) (in robotics) and camera motion estimation (in computer vision), among others. This problem is typically formulated as a nonconvex maximum-like作者: Narrative 時間: 2025-3-26 03:12
Autonomous Visual Rendering using Physical Motion,ens, brushes, or other tools. This work uses ergodicity as a control objective that translates planar visual input to physical motion without preprocessing (e.g., image processing, motion primitives). We achieve comparable results to existing drawing methods, while reducing the algorithmic complexit作者: dissolution 時間: 2025-3-26 07:14
Cloud-based Motion Plan Computation for Power-Constrained Robots,loud-based compute service. To meet the requirements of an interactive and dynamic scenario, robot motion planning may need more computing power than is available on robots designed for reduced weight and power consumption (e.g., battery powered mobile robots). In our method, the robot communicates 作者: 戰(zhàn)役 時間: 2025-3-26 09:57
Combining System Design and Path Planning,ted to find the best design that optimizes its motion between two given configurations. Solving individual path planning problems for all possible designs and selecting the best result would be a straightforward approach for very simple cases. We propose a more efficient approach that combines discr作者: 表示問 時間: 2025-3-26 15:32
Language-Guided Sampling-based Planning using Temporal Relaxation,guage-guided biasing scheme. We leverage the notion of temporal relaxation of time-window temporal logic formulae (TWTL) to reformulate the temporal logic synthesis problem into an optimization problem. Our algorithm exhibits an exploration-exploitation structure, but retains probabilistic completen作者: HAVOC 時間: 2025-3-26 20:40
Generating Plans that Predict Themselves,ammates’ actions early on can give us a clear idea of what the remainder of their plan is, i.e. what action sequence we should expect. In others, they might leave us less confident, or even lead us to the wrong conclusion. Our goal is for robot actions to fall in the first category: we want to enabl作者: 書法 時間: 2025-3-26 23:25 作者: GLOOM 時間: 2025-3-27 01:44
,You Can’t Save all the Pandas: Impossibility Results for Privacy-Preserving Tracking,ed by O’Kane at .. The present paper reconsiders his formulation, with its elegant illustration of the utility of ignorance, and the tracking strategy he proposed, along with its completeness. We explore how the capabilities of the robot and panda affect the feasibility of tracking with a privacy st作者: Infirm 時間: 2025-3-27 08:51 作者: 發(fā)現(xiàn) 時間: 2025-3-27 11:54
Competitive Two Team Target Search Game with Communication Symmetry and Asymmetry, the set of search sweep-patterns allowed from its respective random starting locations. Assuming that communication enables cooperation we find closed-form expressions for the probability of winning the game as a function of team sizes, and vs. the existence or absence of communication within each 作者: ACTIN 時間: 2025-3-27 13:50
Beyond the Planning Potpourri: Reasoning About Label Transformations on Procrustean Graphs,ly, we consider the impact that degradations of a robot’s sensor and actuation suites may have on the ability of that robot to complete its tasks. Expanding upon prior work that addresses similar questions in the context of filtering, we introduce a new formal structure that generalizes and consolid作者: 驕傲 時間: 2025-3-27 21:23 作者: GORGE 時間: 2025-3-27 23:19 作者: 助記 時間: 2025-3-28 02:59 作者: colloquial 時間: 2025-3-28 08:29 作者: ARK 時間: 2025-3-28 14:18 作者: TEN 時間: 2025-3-28 15:39
Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach, By exploiting these structures, we design a complementary pair of near-optimal efficient approximation algorithms with provable guarantees. Our theoretical results are validated using random graphs and a publicly available pose-graph SLAM dataset.作者: LOPE 時間: 2025-3-28 19:06 作者: Asymptomatic 時間: 2025-3-29 01:06
Competitive Two Team Target Search Game with Communication Symmetry and Asymmetry,team. Assuming the target is distributed uniformly at random, an optimal mixed strategy equalizes the expected first-visit time to all points within the search space. The benefits of communication enabled cooperation increase with team size. Simulations and experiments agree well with analytical results.作者: Tartar 時間: 2025-3-29 05:14
Einflussfaktoren und Lebenstil,e, and bias Jacobians for a set of IMU preintegration factors. These accurate factors are subsequently fused with the visual information via visual-inertial factor graph optimization to provide high-precision trajectory estimates. The proposed method is validated on both Monte Carlo simulations and real-world experiments.作者: 拾落穗 時間: 2025-3-29 09:27 作者: FACET 時間: 2025-3-29 12:31 作者: hardheaded 時間: 2025-3-29 17:42 作者: 十字架 時間: 2025-3-29 22:37 作者: custody 時間: 2025-3-30 02:07
https://doi.org/10.1007/978-3-322-85484-1g target states in the map which allow distinctive information to be observed for each belief mode and creating local feedback controllers to visit the targets. Experimental results are presented for a kidnapped physical ground robot operating in an artificial maze-like environment.作者: Deference 時間: 2025-3-30 07:46 作者: 沐浴 時間: 2025-3-30 09:21
Autonomous Visual Rendering using Physical Motion, landscapes). In addition, we show that ergodic control enables the same software design to apply to multiple robotic systems by incorporating their particular dynamics, thereby reducing the dependence on task-specific robots. Finally, we demonstrate physical drawings with the Baxter robot.作者: 同步左右 時間: 2025-3-30 14:46 作者: dainty 時間: 2025-3-30 17:31 作者: 本能 時間: 2025-3-30 21:55
Importance Sampling for Online Planning under Uncertainty,a general method for learning the importance sampling distribution and demonstrate empirically that importance sampling significantly improves the performance of online POMDP planning for suitable tasks.作者: aesthetic 時間: 2025-3-31 01:04
Motion Planning for Active Data Association and Localization in Non-Gaussian Belief Spaces,g target states in the map which allow distinctive information to be observed for each belief mode and creating local feedback controllers to visit the targets. Experimental results are presented for a kidnapped physical ground robot operating in an artificial maze-like environment.作者: CUB 時間: 2025-3-31 06:07
Einflussfaktoren und Lebenstil, By exploiting these structures, we design a complementary pair of near-optimal efficient approximation algorithms with provable guarantees. Our theoretical results are validated using random graphs and a publicly available pose-graph SLAM dataset.作者: 煤渣 時間: 2025-3-31 11:08 作者: Incompetent 時間: 2025-3-31 15:50
https://doi.org/10.1007/978-3-322-85484-1team. Assuming the target is distributed uniformly at random, an optimal mixed strategy equalizes the expected first-visit time to all points within the search space. The benefits of communication enabled cooperation increase with team size. Simulations and experiments agree well with analytical results.作者: HOWL 時間: 2025-3-31 20:23 作者: overhaul 時間: 2025-4-1 00:02 作者: GREG 時間: 2025-4-1 02:51 作者: gnarled 時間: 2025-4-1 08:59 作者: ascetic 時間: 2025-4-1 11:04 作者: single 時間: 2025-4-1 16:33
Christian Simhandl,Klaudia Mitterwachauer calibrated. An algorithm was developed to determine the misalignment between any two three-axis sensors whose unit vectors are known in the inertial frame and can be measured by the sensor in body coordinates. This is a batch algorithm, assuming each sensor has been individually calibrated, and req作者: Calibrate 時間: 2025-4-1 19:11 作者: Magnitude 時間: 2025-4-2 00:16
Integration und Diskussion der Ergebnisse,of their pairwise relative transforms .. Examples of this class include the foundational problems of pose-graph simultaneous localization and mapping (SLAM) (in robotics) and camera motion estimation (in computer vision), among others. This problem is typically formulated as a nonconvex maximum-like作者: FLAGR 時間: 2025-4-2 04:47 作者: BUMP 時間: 2025-4-2 09:06
Depression und gelernte Hilflosigkeitloud-based compute service. To meet the requirements of an interactive and dynamic scenario, robot motion planning may need more computing power than is available on robots designed for reduced weight and power consumption (e.g., battery powered mobile robots). In our method, the robot communicates 作者: 社團 時間: 2025-4-2 14:41
https://doi.org/10.1007/978-3-658-11162-5ted to find the best design that optimizes its motion between two given configurations. Solving individual path planning problems for all possible designs and selecting the best result would be a straightforward approach for very simple cases. We propose a more efficient approach that combines discr作者: 薄膜 時間: 2025-4-2 17:26
