Author: Robotic Materials

Why making robotic manipulation harder than it is?

How important the sense of touch is for a human can be best understood by disabling it. This is an experiment Prof. Roland Johansson has conducted at the University of Umeå, Sweden, showing how much harder it is to light a match under local anesthesia of the sense of touch. While it takes painfully long […]

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Robotic Manipulation has been solved in 1968

Don’t waste your time on trying to solve robotic manipulation! Robotic manipulation has been solved in 1968. It has been solved when the Unimate robot demonstrated how a robot could butter a toast, pour coffee, set a table, open a fridge and open a bottle of champagne. Look around on the internet, and you would […]

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Case study: Robotic Materials for sorting trash

AMP Robotics provides autonomous solutions for sorting trash in recycling plants. Their robots push, suck or grasp metals, plastics, and cardboard recyclables from a fast-moving conveyor belt. To identify objects, AMP employs computer vision and deep learning techniques. A key metric of the success of AMP Robotics’ system is how many recyclables are successfully removed from […]

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Case Study: Robotic Materials enables new avenues in Prosthetic Research

Dr. Jacob Segil and his colleague and former PhD adivsor Prof. Richard Weir work on prosthetic hands and know how important the sense of touch is. While it is well known in the research community that simply providing a prosthesis user with information when contact is made can dramatically improve performance in standardized manipulation tests, getting […]

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CU Boulder team to participate at the IROS’16 Manipulation Challenge

A team from CU Boulder from the Correll Lab is participating at the 1st Manipulation Competition at the International Conference on Intelligent Robots and Systems (IROS) in Daejeon, Korea. The team is participating both in the manual and the autonomous track, using a Kinova Jaco arm with integrated distance and force sensor.

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Proximity and tactile sensing can significantly improve manipulation performance

A team from the Correll Lab at CU Boulder will present their paper “Improving grasp performance using in-hand proximity and dynamic tactile sensing” at the International Symposium on Experimental Robotics (ISER) in Tokyo, Japan, where they demonstrate how to obtain dynamic tactile information similar to that in the human hand using a Baxter Parallel Gripper (PGBSMALL7+1).

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