多机器人系统实验室汇总

多机器人系统实验室网址汇总

各实验室的研究内容和成果，包括论文、在研项目等都可以在其网页上找到！

--中文介绍有待进一步完善--

http://mrsl.rice.edu/

Our research is on distributed algorithmsfor multi-robot systems, with a focus on both algorithm and systems design. Ourlong-term goals are to understand computation on multi-robot systems in theoryand in practice.

Multi-Robot Systems Engineering

The swarm of robots used for Dr. McLurkin'swork was built during his tenure at iRobot corporation as project manager andlead software engineer on the DARPA-funded Swarm project.

Multi-Robot Computation

We believe that multi-robot systems willrequire a unique theory of computation, distinct from robotics in general,distributed computation, and networked systems, but borrowing ideas from themall.

Dynamic Task Assignment

Most applications require subgroups ofrobots to perform different tasks. To support this, we designed a set of fourdistributed algorithms for dynamic task assignment.

Distributed Algorithm Library

The goal of this project is to design alibrary of practical, well-abstracted, multi-robot distributed algorithms,suitable for many applications.

Distributed Coverage Control

This was joint work with Mac Schwager andDaniela Rus.

Boundary Detection

Similar in spirit to the alpha-shapes ofEdelsbrunner, our boundary detection algorithm creates a "skin-tight"boundary around the network, detecting convex and concave sections.

http://sites.bu.edu/msl/

Welcome to the Multi-robot Systems Lab(MSL) at Boston University. We studydistributed algorithms for control, sensing, and learning in groups of robotsand animals. Our current and past research topics include:

– Distributed controllers for the deployment of mobile sensornetworks

– Agile coordinated multi-robot control

– Multi-robot control with adversaries and environmental hazards

– Persistent monitoring and persistent environmental sampling withrobots

– Information based active sensing and estimation

– Multi-Robot Manipulation

http://www.ri.cmu.edu/research_lab_group_detail.html?lab_id=52&menu_id=263

In the MultiRobot Lab at CMU we areinterested in building and studying teams of robots that operate in dynamic anduncertain environments [1]. Our research focuses specifically on issues ofmultiagent communication, cooperation
and learning. We experiment with and testour theories in simulation and on a number of real robot testbeds.

http://www.lsr.ei.tum.de/en/research/robotics/murola-the-multi-robot-lab/#c1162

MuRoLa - The Multi-Robot Lab

Our mission is to develop robotic systemswhich are user-friendly and behave as cognitive partners for the humans. Basedon that, we dedicate our efforts to developing cognitive functionalities forrobots to endow them with versatile
skills such as perception, decision making,planning, motion coordination and learning from experiences in a multi-humanmulti-robot framework.

Research Activities - An Overview

Human-robot collaboration

Human-robot effort sharing

Role allocation

Motion coordination

Incremental learning for haptic assistance

Human intentionestimation

Action coordination in robot-robotcollaboration

Perception

Learning manipulation of articulated objects

Probabilistic rigid motion estimation

Robust and high-fidelity tele-operation

Manipulation

Deformable-object manipulation

Learning taskconstraints and force regulation skills in compliant manipulation.

http://mars.cs.umn.edu/

The objective of the Multiple AutonomousRobotic Systems (MARS) Laboratory is to promote basic research and education inrobotics and computer vision with special emphasis on estimation and control ofautonomous ground, aerial,
and space exploration vehicles.

Researchers in our group have a diversebackground in Computer Science and Engineering, Electrical Engineering,Aerospace Engineering, Industrial Engineering, and Physics.

The research interests of our group are onresource-aware estimation and control, including:

Slideshow image

SLAM

Vision/Laser-aided inertial navigation systems (VINS, RGBD-INS, LINS)

Large-scale 3D localization and mapping on cell phones and wearablecomputers

Multi-robot/sensor localization, mapping, and navigation

Active sensing for reconfigurable networks of sensors

Optimal information selection and fusion

Mobile manipulation

Human-robotcooperation

http://nrsl.mne.psu.edu/

Lab Overview: Objectives

Formal-language-theoretic Control & Coordination of autonomousagents with the purpose of automated planning and execution of complex missions

Optimal decision making in complex autonomous/semi-autonomous systemsoperating in uncertain or unmodeled environments

Modeling high level operational intelligence for failure detection andmitigation in complex human engineered systems as supervised formal languageson finite alphabets

Robust decision making in autonomous systems under incomplete andintermittent information

C4ISR with focus on UGV-UAV coordination

Very large scale cooperation

Engineering a rigorous control paradigm for swarms focusing on controlof emergent behaviors in large autonomous system of systems

Address the issues of system levelintegration, including:

System level robustness to component failures

Scalability in the number of mobile agents

Performance measurability to multi-layer control hierarchy

Modeling high level operational intelligence for failure detection andmitigation in complex human engineered systems as supervised formal languageson finite alphabets

What's New:

Anovel Path planning algorithm for autonomous agents based on optimization offormal language measures of probabilistic finite state machines

Optimal supervisor Design under the possibility of missed transitions atthe supervisory level

Novel algorithms for automated behavior recognition and multi-modalsensor fusion in the context of mobile autonomous agent operation

Optimal control of non-regular languages

More...

Area of Research:

We are particularly interested in thefollowing areas through theoretical research and experimental validation:

Behavior-based robotic research, including simultaneous localization andmapping (SLAM), obstacle avoidance, and vision-based navigation

Mission decomposition of distributed information systems bydecentralized (horizontal) and hierarchical (vertical) control strategies inthe discrete event systems framework

Multi-agent systems, distributed cooperativemulti-robot systems

Statistical signal processing and filtering hybrid systems

Routing and energy saving in ad hoc wireless mobile networks

Probabilistic failure diagnosis and mitigation

Real-timecomputer vision for mobile platforms

http://www.case.edu/mae/robotics/

Welcome to Distributed Intelligence andRobotics Lab at Case Western Reserve University. Our research focuses onsensor-networked systems, modular robotics, and sociable robots with emphasison biomedical and healthcare applications.
Click here for recent news andannouncements.

http://www.cc.gatech.edu/ai/robot-lab/research/multi-agent.html

http://multirobotsystems.org/labs