MANFRED

MANFRED (MAN FRiEnDly mobile manipulator) is an autonomous mobile manipulator designed to operate efficiently in environments where human manipulation capabilities are required.

Due to the presence of obstacles, fixed or mobile, narrow places, locations with a high number of obstacles, doors, safety valves and other elements in typical human environments, mobile manipulators require a high level of autonomy in movements and manipulation.  To cope with autonomy requirements a combination of displacement, manipulation and sensorial capabilites are nedeed. Other important aspect in many kind of environments is the presence of persons. Safety considerations has been taken into consideration in the design, in those aspects relatives to the manipulator (light wheight and moderate speeds, and also in the functional architecture of the robot. MANFRED has a coordinated control of all degree of freedom in the system (the mobile base has 2 DOF and the manipulator has 6 DOF) to achieve smooth movement. This mobile manipulator use a sensorial system based in vision and 3-D laser telemetry to perceive and model 3-D environments. The mobile manipulator will include all the capabilities needed to navigate, localize and avoid obstacles safely through the environment.

Manfred_v2_1

Entries:
Robotic Arm Platform Development for Educational Purposes
14th annual International Conference of Education, Research and Innovation, 2021, Online,
R. Barber R. Sánchez A. Mora
Teaching Robot Planners Using a Practical Approach
15th International Technology, Education and Development , 2021, Online,
A. Mora R. Sánchez R. Barber
Object-based Pose Graph for Dynamic Indoor Environments
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA
C. Gómez A. C. Hernández R. Barber E. Derner R. Babuska
Efficient Object Search Through Probability-Based Viewpoint Selection
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA
A. C. Hernández C. Gómez R. Barber E. Dernier R. Babuska
Course Content for Learning GPU
13th annual International Conference of Education, Research and Innovation, Sevilla, SPAIN
G. Camporredondo R. Barber L. Muñoz M. Legrand
Indoor Scene Recognition based on Weighted Voting Schemes.
European Conference on Mobile Robots (ECMR)., Prague,, Czech Republic
A. C. Hernández C. Gómez R. Barber
Segmenting Maps by Analyzing Free and Occupied Regions with Voronoi Diagrams
International Conference on Informatics in Control, Automation and Robotics (ICINCO),, 2022, Lisboa, Portugal
A. Mora A. Prados R. Barber
Learning How Path Planning Algorithms Work
16th International Technology, Education and Development Conference, 2022, Online Conference,
A. Prados A. Mora R. Barber

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