Kristofer S.J. Pister (Advisor)

Research Advised by Professor Kristofer S.J. Pister

Pister Group:  List of Projects | List of Researchers

BPN924: Multimodality Platform for Neurogenesis and Neural Signal Recording After Stroke

Wentian Mi
2024

Stroke is a leading cause of disability in the United States. Recovery from stroke is complex and ultimately limited by the brains limited ability to regenerate damaged tissue. Ideally, we would want to drive neurogenesis and angiogenesis in a stroke lesion to aid in recovery. We propose a multimodality platform for stimulating neurogenesis which simultaneously allows for electrophysiological recording of neurons in the lesion area after stroke. Our aim is to provide a paradigm for making complex substrates for nervous tissue. With various devices integrated, multiple functions can be...

BPN987: Single-chip µV Precision ADC for SCµM-V

Yu-Chi Lin
Daniel Lovell
Ali M. Niknejad
Kristofer S.J. Pister
2024

We are developing a millimeter-square low-power wireless ADC capable of detecting and transmitting microvolt-level signals. This ADC offers potential for high-precision measurements in various domains, including biomedical, automotive, and IoT. The immediate objective of this project is to design a concurrent TMS-EEG-MRI system – a temporal and spatial imaging method that may unveil the intricacies of brain circuits. The high-precision ADC enables acquisition of EEG signals down to 10µV, while the wireless communication remains robust to heating and disturbance issues induced by MRI...

BPN990: Anti-Drone Radar-Guided Micromissiles

Titan Yuan
Carson Spoo
Cedric Murphy
Jenna Dickman
Asa Garner
Eric Yang
2024

Since drones can be flown remotely or autonomously and can navigate dangerous environments without any risk to human operators, they are attractive for military applications, including surveillance, reconnaissance, and combat missions. At the same time, enemy drones pose a growing serious threat to civilians and soldiers. Current anti-drone warfare is either inaccurate, expensive, or large in size, so this project aims to build a low-cost, crayon-sized radar-guided microrocket to target drones up to 100 m away.

Project currently funded by: Membership Fees

BPN985: Multimaterial Nanoscale 3D Printing

Daniel Teal
2024

We propose a new multimaterial direct-write printing technique with projected sub-micron resolution. Inorganic nanoparticles (≈1-10nm) of common microfabrication materials are electrically charged, manipulated electromagnetically in vacuum with an ion trap, and shot toward a substrate where they deposit onto a part under construction, similar to PVD methods. To date, we have successfully demonstrated basic multimaterial deposition. Eventually, this ion printing technology could allow rapid prototyping of integrated circuits and MEMS.

Project currently funded by: Member...

BPN915: Control of Microrobots with Reinforcement Learning

Yichen Liu
Kesava Viswanadha
Zhongyu Li
Emily Tan
Nelson Lojo
Derrick Han Sun
Aviral Mishra
Rushil Desai
2024

Developing task schedulers and low-level end-to-end controllers for microrobots operating in complex environments often demands extensive system and environment knowledge, leading to prolonged design cycles for specialized controllers. To expedite the generation of general controllers without requiring domain-specific expertise, we propose utilizing model-based reinforcement learning (MBRL) trained within simulated environments. Our research advances microrobot control through two key approaches: modeling the long-term dynamics of robots and distilling computationally intensive model...

BPN803: Single Chip Mote

Daniel Lovell
Titan Yuan
Yu-Chi Lin
2024

The Single-Chip Micro Mote (SCµM) is an integrated wireless sensor node that pushes the boundaries of system-on-chip integration. A single mote is intended to be fully self-contained and functional when supplied only with a power source, and the on-chip crystal-free radio is designed to comply with BLE and IEEE 802.15.4 wireless personal area network standards. In previous work, SCµM-3C was demonstrated to join an 802.15.4 mesh network running OpenWSN, transmit BLE beacon packets to a cell phone, and perform RF temperature compensation via both initial calibration and...

BPN735: Walking Silicon Microrobots

Yichen Liu
Alexander Alvara
Daniel Lovell
Dang Le
2024

Our goal is to build a family of autonomous silicon robotic insects with actuating, computing, and power capabilities integrated. A silicon-on-insulator (SOI) device is used to house all three components. These robots use electrostatic actuators driving silicon linkages, all fabricated in the device layer of the wafer. By using electrostatic actuation, these actuator linkage systems have the advantage of being low power compared to other methods of actuation on microscale granting robot autonomy through low-power energy harvesting. Computation and communication are carried out with Single...

Yichen Liu

Graduate Student Researcher
Electrical Engineering and Computer Sciences
Professor Kristofer S.J. Pister (Advisor)
Ph.D. 2027 (Anticipated)
First-year Ph.D. student in EECS at UC Berkeley Concentration in MEMS The current project on locomotion controller design on micro-walker through reinforcement learning

BSAC Spring 2023 Research Review Presenter

BSAC Spring 2024 Research Review Presenter

Integrated Low-Power Wireless Systems for the Next Generation of IoT, Sensors and Microrobots

Alex Moreno
Kristofer S.J. Pister
Ali Niknejad
2023

The relentless pursuit of smaller, cheaper, and lower-power wireless electronics has driven the design of novel radio designs such as crystal-free radios, that o er a fully functional wireless node with minimal external components. At Berkeley, the Single-Chip Micro Mote (SCμM), a 3x2 mm, 4.2mg crystal-free 802.15.4 and BLE wireless SoC, was developed to make swarms of mm-scale microrobots a reality. This dissertation will begin by discussing SCμM in the context of system integration, including the challenge of accurate channel frequency tuning in the face of varying temperature and...

An Implantable Radiation Detector for Cancer Radiotherapy

Lydia Lee
Kristofer S.J. Pister
2023

The conversion of trigger events to their digital equivalent is a central component of any timing-based front end, with applications found in mass spectrometry, single channel analyzers, and a huge variety of 3D mapping and ranging systems. At the same time, ever- tightening size, weight, and power budgets for space launches with a skyrocketing (no pun intended) number of launches in the last decade have made application-specific integrated circuit solutions increasingly appealing. However, conventional analog methods of pulse discrimination introduce timing walk or are limited to a narrow...