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Fusion HAT+ Review – Adding AI voice and servo/motor control to Raspberry Pi for robotics, Smart Home, or education

https://fed.brid.gy/r/https://www.cnx-software.com/2026/02/01/fusion-hat-review-adding-ai-voice-and-servo-motor-control-to-raspberry-pi-5-for-robotics-smart-home-and-education/

Geehy G32R430 Arm Cortex-M52 Encoder MCU features Arctangent accelerator, dual 16-bit ADC for industrial motion control systems

https://web.brid.gy/r/https://www.cnx-software.com/2026/01/22/geehy-g32r430-arm-cortex-m52-encoder-mcu-features-arctangent-accelerator-dual-16-bit-adc-for-industrial-motion-control-systems/

Old Windsurfers Become New Electric Surfboards https://hackaday.com/2026/01/13/old-windsurfers-become-new-electric-surfboards/
#TransportationHacks #Battery #Motorcontrol #Surfboard #Windsurfer

A new #postdoctoral research position in #MotorControl of #speech and #reaching is available at #UW:

Ad for a postdoctoral research position in speech and limb motor control and motor learning at the University of Washington in Seattle.

STEVAL-ROBKIT1 – A robot evaluation kit based on STM32H725 and STM32G0 microcontrollers

https://web.brid.gy/r/https://www.cnx-software.com/2025/12/10/steval-robkit1-a-robot-evaluation-kit-based-on-stm32h725-and-stm32g0-microcontrollers/

ST launches 800 MHz STM32V8 Arm Cortex-M85 high-performance MCU manufactured with 18nm FD-SOI process

https://fed.brid.gy/r/https://www.cnx-software.com/2025/11/19/st-stm32v8-arm-cortex-m85-800-mhz-high-performance-mcu-18nm-fd-soi-process/

By adding a HAT, you can easily control multiple motors with your Raspberry Pi. ⚙️

In particular, some "Motor Driver HATs" can simultaneously control both DC and servo motors, allowing you to build a complete robot drive system with just one HAT. 🤖💡

It's a great choice for electronics projects and homemade robots. ✨
The photo shows SunFounder's RobotHAT.

🔥 Top 6 Raspberry Pi eBooks for $20 V2
https://ebokify.com/top-6-Raspberry-pi-ebooks-v2

#RaspberryPi #Electronics #Python #RobotControl #MotorControl

By combining a Raspberry Pi with an H-bridge circuit, you can learn practically how to operate a DC motor with PWM control. ✨

The key point is that you can control the motor's rotation speed and direction by quickly switching the voltage on and off through the GPIO output.

This is a great way to experience the integration of hardware and software. 💡

🔥 Top 6 Raspberry Pi eBooks for $20 V2
https://ebokify.com/top-6-Raspberry-pi-ebooks-v2

#Python #RaspberryPi #Electronics #MotorControl #LearningProgramming

The Raspberry Pi is equipped with PWM (Pulse Width Modulation) functionality, which, when combined with an H-bridge circuit, allows for flexible control of the rotational speed and direction of a DC motor. ⚙️

Outputting a PWM signal via GPIO and controlling the motor via an H-bridge is a configuration that can also be used for robotics and automation. 😄

🔥 Top 6 Raspberry Pi eBooks for $20
🌐 ebokify.com/top-6-Raspberry-pi-ebooks

#RaspberryPi #Python #Electronics #MotorControl

🧠 New preprint by Kashefi et al. (2025): High-density #Neuropixels recordings in monkeys reveal compositional #NeuralDynamics in #MotorCortex. A posture subspace anchors fixed points, rotational dynamics link them to generate movement, and a uniform shift tracks trial state. Recurrent models show this geometry emerges only when controlling a full arm, suggesting posture-dependent control as a core principle:

🌍 https://www.biorxiv.org/content/10.1101/2025.09.04.674069v1

#Neuroscience #MotorControl #CompNeuro

Figure 3| Rotational dynamics
connect posture-specific fixed points
during reaching.
A) Hand trajectories and speed profiles
for six trial types involving reaches
between three diagonal targets. Colors
indicate reach direction.
B) Left: M1 Neural trajectories for each
reach condition. Dotted traces
represent center-out reaches. Each
trace begins at a black marker indicating
the start location, shaped as a plus,
square, or circle corresponding to trials
that began from the plus, square, or
circle target, respectively. Traces are
colored by reach direction, and arrows
indicate the go cue. Each trace ends in a
colored marker (plus, square, or circle)
representing the end target location.
Right: Same as left, but for the trial
types shown in panel A (right).
C) Neural trajectories projected onto
the top three principal components
(PCs) from a PCA fit across all 20
conditions. Each trace represents one
reach condition, colored by reach
direction. As in panel B, black markers
indicate start locations and colored
markers indicate end locations.
D–F) Same as panels A–C, but for
Monkey P

🧠 New #preprint by Hosseini et al. (2025) from Graziana Gatto’s lab: #AutoGaitA, a #Python toolbox for universal #kinematic analysis of #motor programs across species, perturbations and #behaviours. Flies, mice and humans all show age-dependent loss of propulsive strength 🚶‍♀️A promising tool 💪 for cross-species motor program analysis in my view:

🌍 https://doi.org/10.1101/2024.04.14.589409

#Neuroscience #MotorControl #CompNeuro #OpenSource

Figure 1 | AutoGaitA’s universal framework for the kinema9c comparisons of rhythmic behaviours within and across species.
a, User input. AutoGaitA loads 2D (from DeepLabCut or SLEAP tracking) or 3D (any 3D method) body coordinate data as well as
the annotaFon table storing Fme informaFon. The AutoGaitA workflow is applicable to any model organisms (e.g. axolotl,
salamander, frogs, songbirds) performing a variety of rhythmic behaviours. b, First-level workflow. Landmark coordinates are
first segmented into cycles based on the annotaFon table and then normalised. Normalised kinemaFc features (stride, height,
angles, velociFes and acceleraFons) are computed and averaged for each trial. c, First-level results. Results are generated as
image and tabular files, summarising raw coordinates and kinemaFc features for each trial aPer segmentaFon, normalisaFon,
and averaging. d, Group-level workflow. Comparisons of kinemaFc features among groups are computed via staFsFcal tests and
principal component analysis (PCA).

Figure 1 | AutoGaitA’s universal framework for the kinema9c comparisons of rhythmic behaviours within and across species.
e, Group-level results. Results of staFsFcal tests (e.g., pair-wise Fme points of staFsFcal
significance and p-values) are provided for each variable tested. PCA results are provided as customisable scaQerplots, videos,
and tabular files.

Figure 3 | Age-dependent adapta9on of locomotor programs across species.
a, PCA scaQerplot of fly posterior leg kinemaFcs shows segregated clusters for young (green, 2-3 days, N=6) and old (purple, 21-
22 days, N=6) flies. Each circle represents an individual fly. b, PCA scaQerplot of mouse hindlimb kinemaFcs shows segregated
clusters for young (8 months, N=9) and old (24 months, N=12) mice. Each circle represents an individual mouse. c, PCA
scaQerplot of human leg kinemaFcs shows parFally segregated clusters for young (21-36 years, N=29) and old (46-85 years,
N=18) humans. Each circle represents a single parFcipant. d, Flexion of the femur-Fbia (Fe-Ti) angle at the swing-stance
transiFon is reduced in old compared to young flies. e, Extension of the ankle angle at the swing-stance transiFon is reduced in
old compared to young mice. f, Flexion of the ankle angle during stance is reduced in old compared to young humans. Data are
presented as mean±SEM, SEM is represented as shaded areas. StaFsFcal analysis: one-way ANOVA followed by Tukey’s post-
hoc test. Significance is indicated with asterisks, *p<0.05. See Supplementary Tables S1-S9 for complete staFsFcal and PCA
results.

📣 Now published:

"Auditory-motor adaptation and de-adaptation for speech depend more on time in the new environment than on the amount of practice"

https://www.nature.com/articles/s44271-025-00304-8

#MotorLearning #Adaptation #Speech #Sensorimotor #MotorControl

Hantao Wang will defend his PhD dissertation on Tues 8/19 (10 am PDT), open to all via Zoom!

"Examining Cortical and Subcortical Processes Underlying Speech Auditory-motor Adaptation and Syllable Sequence Learning"

https://washington.zoom.us/j/94491363101?pwd=NGjWWgAy9SjuVM8eKCbPmeiDvxGiI2.1

#Speech #MotorControl #Parkinsons #EssentialTremor #DBS #Subcortical #Adaptation

blew up an inverter today. in the stupidest way possible.

two of the phases were touching each other. someone had fiddled with my setup, but i should have checked still.

broke my heart to see the resistance between one of the phases and GND being 0.1 ohm 💔💀

even between the PVDD and GND there's similarly low resistance 😭

feeling sad

#sad #ee #motorcontrol #cooked

Even the tiniest motions are greenlit by your brain’s high-precision neural switchboard. Find out how this changes our understanding of movement—and disease. #neuroscience #motorcontrol #parkinsons

https://geekoo.news/brain-greenlights-how-neurons-approve-every-move/

For any #postdoc researchers, incl. those who have lost #funding due to recent #grant #terminations, there are 2 non-federal #fellowship competitions currently open that we here at #UW can participate in:
(1) https://www.weillneurohub.org/rfp
(2) https://www.wrfseattle.org/grants/wrf-postdoctoral-fellowships/

Get in touch if interested in applying!

#Research #Science #MotorControl

2025 application for Washington Research Foundation Postdoc Fellowships now OPEN:

https://www.wrfseattle.org/grants/wrf-postdoctoral-fellowships/

Due 06/26

#Postdoc #Science #Engineering #MotorControl #Speech #Funding

Unlock sub-micron precision in industrial motor measurement using Texas Instruments’ AM6254 platform and the Enhanced Quadrature Encoder Pulse (eQEP) interface. Ideal for robotics, CNC machines, and intelligent systems!

👉 Explore the full guide with diagrams & code →
https://www.forlinx.net/industrial-news/ti-am6254-eqep-motor-measurement-guide-673.html

#IndustrialAutomation #MotorControl #EmbeddedSystems #TIAm6254 #EQEP

How to Achieve Precise Motor Measurement on the TI AM6254 Platform Using eQEP

…been silent for quite a while, but reappeared with a short opinion piece in The Journal of Physiology on #MotorControl #Neurophysiology and #AI #history —basically suggesting that behavioral research holds valuable insights that new AI methods can leverage to better understand brain function.

@jphysiol
#neuroscience #NeuroAI #cognitivescience

https://physoc.onlinelibrary.wiley.com/doi/10.1113/JP288605

📣 🥁 🚨Tuesday Dec 10, 2 pm PT,
Elise LeBovidge presents her PhD dissertation "Sensory modulation during speech movement planning in stuttering and nonstuttering adults"

Follow live via Zoom:
https://washington.zoom.us/j/99073789905

#speech #MotorControl #stuttering #PhD

#motorcontrol

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