227 citations · 258 across the 7 of their papers we have counts for
7 papers
eViper: A Scalable Platform for Untethered Modular Soft Robots
Hsin Cheng, Zhiwu Zheng, Prakhar Kumar +6
Soft robots present unique capabilities, but have been limited by the lack of scalable technologies for construction and the complexity of algorithms for efficient control and moti…
Wirelessly-Controlled Untethered Piezoelectric Planar Soft Robot Capable of Bidirectional Crawling and Rotation
Zhiwu Zheng, Hsin Cheng, Prakhar Kumar +4
Electrostatic actuators provide a promising approach to creating soft robotic sheets, due to their flexible form factor, modular integration, and fast response speed. However, thei…
Neural Network Training on In-memory-computing Hardware with Radix-4 Gradients
Christopher Grimm, Naveen Verma
Deep learning training involves a large number of operations, which are dominated by high dimensionality Matrix-Vector Multiplies (MVMs). This has motivated hardware accelerators t…
Scalable Simulation and Demonstration of Jumping Piezoelectric 2-D Soft Robots
Zhiwu Zheng, Prakhar Kumar, Yenan Chen +5
Soft robots have drawn great interest due to their ability to take on a rich range of shapes and motions, compared to traditional rigid robots. However, the motions, and underlying…
REITS: Reflective Surface for Intelligent Transportation Systems
Zhuqi Li, Can Wu, Sigurd Wagner +3
Autonomous vehicles are predicted to dominate the transportation industry in the foreseeable future. Safety is one of the major challenges to the early deployment of self-driving s…
Nanotechnology-inspired Information Processing Systems of the Future
Randy Bryant, Mark Hill, Tom Kazior +9
Nanoscale semiconductor technology has been a key enabler of the computing revolution. It has done so via advances in new materials and manufacturing processes that resulted in the…
A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing
Hongyang Jia, Yinqi Tang, Hossein Valavi +2
This paper presents a programmable in-memory-computing processor, demonstrated in a 65nm CMOS technology. For data-centric workloads, such as deep neural networks, data movement of…