Seminars & Colloquiums

SEMINAR

Modelling and Simulation of a Liquid Jamming Gripper

Speaker(s) Madan Pushpakath
Date & Time 12 May, 2023 @ 12:00 pm
Venue ARC Engagement Room (E6-07-04)

Box lunch will be arranged. Please register by 11 May, 12 noon at:  https://forms.gle/ABEV9hL7nuLZsW396   Abstract: Modeling of a liquid jamming system involves modeling the Peltier behavior, thermoelectric modeling of the cooling system, heat transfer behavior of the jamming liquid and the control system. An analytical solution to the problem is challenging due to the […]

SEMINAR

Design of a Liquid Jamming Gripper

Speaker(s) Madan Pushpakath
Date & Time 8 May, 2023 @ 12:00 pm
Venue ARC Engagement Room (E6-07-04)

Abstract: The design of a universal gripper based on the principle of liquid jamming is presented. The phase- change behavior of a mineral oil subjected to cooling is used for adaptive gripping and release of odd-shaped objects. The mineral oil is enclosed in a soft, compliant membrane molded into a spherical shape. The membrane easily […]

SEMINAR

Science and Engineering of Robotics and Biorobotics: From Vision to Reality

Speaker(s) Professor Paolo Dario
Date & Time 31 March, 2023 @ 11:00 am to 12:00 pm
Venue Engineering Auditorium, National University of Singapore

Register at http://bit.ly/regseminar-dario.

SEMINAR

ARC Seminar: Adaptive Grasp Intelligence

Speaker(s) Khin Phone May
Date & Time 22 September, 2022
Venue ARC Engagement Room (E6-07-04)

The intricate design and sensing capabilities of human hand has inspired researchers to reproduce robotic grippers that strive to incorporate similar biological features. To date, numerous grippers have been developed in both commercial and academic research, traditionally using a combination of alloys and metals. In the alternate paradigm, mechanically softer robotic grippers have been developed […]

SEMINAR

Analog In-Memory Computing With Multilevel Resistive Switching Devices

Speaker(s) Glenn Ge, Ph.D. MBA
Date & Time 29 August, 2022 @ 4:00 pm to 5:00 pm
Venue Blk E4, Level 4, E4-04-05 (E-CUBE 1)

Abstract Conventional digital processors based on the von Neumann architecture have an intrinsic bottleneck in data transfer between processing and memory units. This constraint increasingly limits performance as data sets continue to grow exponentially for the various applications, for example, IoT, AR/VR wearables, automotive and robotics applications. TetraMem addresses this issue by delivering state-of-the-art in-memory […]

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