2007 IEEE/RSJ International Conference on Intelligent Robots and Systems最新文献_第6页

Potential negative obstacle detection by occlusion labeling 基于遮挡标记的潜在负障碍检测

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4398970

N. Heckman, Jean-François Lalonde, N. Vandapel, M. Hebert

引用次数: 48

The designs and motions of a shoulder structure with a wide range of movement using bladebone-collarbone structures 肩胛骨-锁骨结构的大范围运动的肩部结构的设计和运动

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399241

Yoshinao Sodeyama, T. Yoshikai, Tamaki Nishino, I. Mizuuchi, M. Inaba

引用次数: 12

Design, construction, and analysis of a continuum robot 连续体机器人的设计、构造与分析

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399275

Srinivas Neppalli, Bryan A. Jones

引用次数: 61

Detection of thrown objects in indoor and outdoor scenes 室内外场景中抛物的检测

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4398962

E. Ribnick, S. Atev, N. Papanikolopoulos, O. Masoud, R. Voyles

引用次数: 15

A scheduling and routing algorithm for digital microfluidic ring layouts with bus-phase addressing 基于总线相位寻址的数字微流控环布局调度与路由算法

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399593

Megha Gupta, Srinivas Akella

{"title":"A scheduling and routing algorithm for digital microfluidic ring layouts with bus-phase addressing","authors":"Megha Gupta, Srinivas Akella","doi":"10.1109/IROS.2007.4399593","DOIUrl":"https://doi.org/10.1109/IROS.2007.4399593","url":null,"abstract":"Digital microfluidic systems (DMFS) are a new class of lab-on-a-chip systems for biochemical analysis. A DMFS uses electro wetting to manipulate discrete droplets on a planar array of electrodes. The chemical analysis is performed by repeatedly moving, mixing, and splitting droplets on the electrodes. Recently, there has been a lot of interest in developing algorithms and computational tools for the design, simulation, and performance evaluation of DMFS. In this paper, we present an algorithm for coordinating droplet movement in batch mode operations on ring layouts with bus-phase addressing. In bus- phase systems, each electrode is not individually addressable, instead a set of electrodes are all controlled by the same signal. Though this hardware design simplifies chip fabrication, it increases the complexity of routing droplets. The presented algorithm allows multiple independent reactions, each with two reactants and one product, and chain reactions with multiple stages, where each stage produces reactants for the next stage, to take place simultaneously on the chip. This algorithm is scalable to different number of reactions within a limit which depends on the size of the layout, placement of sources and number of phases used. It also addresses any sensor constraints under which droplets need to visit sensor locations for specified amounts of time. We present simulation results using our algorithm to coordinate droplet movements for example analyses on a ring layout.","PeriodicalId":227148,"journal":{"name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"225 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132443580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Optimizing image and camera trajectories in robot vision control using on-line boosting 基于在线推进的机器人视觉控制中图像和相机轨迹优化

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399283

A. Hafez, E. Cervera, C. V. Jawahar

引用次数: 8

Balloon-based manipulator with multiple linkages for intrauterine surgery 用于宫内手术的多连杆气球机械臂

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399620

N. Yamanaka, K. Matsumiya, K. Masamune, T. Dohi, H. Yamashita, T. Chiba, H. Liao

引用次数: 4

Redundancy optimization of hyper redundant robots based on movability and assistability 基于可动性和辅助性的超冗余机器人冗余优化

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399613

D. Matsuura, N. Iwatsuki, M. Okada

引用次数: 5

Target tracking control with limited communication and steering dynamics 具有有限通信和转向动力学的目标跟踪控制

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399124

A. Pongpunwattana, Benjamin I. Triplett, K. Morgansen

引用次数: 6

Rapid behavior learning in multi-agent environment based on state value estimation of others 多智能体环境下基于他人状态值估计的快速行为学习

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems Pub Date : 2007-12-10 DOI: 10.1109/IROS.2007.4399294

Yasutake Takahashi, Kentarou Noma, M. Asada

{"title":"Rapid behavior learning in multi-agent environment based on state value estimation of others","authors":"Yasutake Takahashi, Kentarou Noma, M. Asada","doi":"10.1109/IROS.2007.4399294","DOIUrl":"https://doi.org/10.1109/IROS.2007.4399294","url":null,"abstract":"The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical examples is a case of RoboCup competitions since other agents and their behaviors easily cause state and action space explosion. This paper presents a method of modular learning in a multiagent environment by which the learning agent can acquire cooperative behaviors with its team mates and competitive ones against its opponents. The key ideas to resolve the issue are as follows. First, a two-layer hierarchical system with multi learning modules is adopted to reduce the size of the sensor and action spaces. The state space of the top layer consists of the state values from the lower level, and the macro actions are used to reduce the size of the physical action space. Second, the state of the other to what extent it is close to its own goal is estimated by observation and used as a state value in the top layer state space to realize the cooperative/competitive behaviors. The method is applied to 4 (defense team) on 5 (offense team) game task, and the learning agent successfully acquired the teamwork plays (pass and shoot) within much shorter learning time (30 times quicker than the earlier work).","PeriodicalId":227148,"journal":{"name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124406403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0