page updated in Jan 2026
Russell Martin

PhD Student
Stanford Biomechatronics Labratory
Dept. of Mechanical Engineering, Stanford University
Stanford, CA


Email: russellmartinm [at] gmail [dot] com

[Resume] [LinkedIn] [Scholar] [GitHub]


Hi there! My name is Russell, I'm a PhD student working in the Stanford Biomechatronics Lab. In my graduate training, I am specializing in controls, mechatronics, and optimization, and am applying these technical skills in the development of robotic exoskeletons that assist walking. My research has specifically focused on (1) improving the speed and accuracy of human-in-the-loop exoskeleton optimization in the presence of noise, (2) investigating the effect of different high-level exoskeleton control strategies, and (3) deploying these control strategies and optimization approaches in exoskeletons that assist people who have had a stroke. In the long term, I am excited about working at the interface between hardware and software, particularly in the development of robotic systems that involve human-machine interaction, autonomy, and/or optimization.


Journal papers


The effect of position versus torque exoskeleton control on walking biomechanics and energetics
RM Martin*, RS Punamiya*, SH Collins
In preparation

Slow walking limits the benefits of knee-ankle exoskeleton assistance for people with and without stroke
RM Martin, RS Punamiya, T Tankink, MS Lee, MG Lansberg, SH Collins
Submitted to Journal of NeuroEngineering and Rehabilitation

Improving CMA-ES convergence speed, efficiency, and reliability in noisy robot optimization problems
RM Martin, SH Collins
Evolutionary Computation, 2026
[article] [pdf] [open source code]

Comparing optimized exoskeleton assistance of the hip, knee, and ankle in single and multi-joint configurations
PW Franks, GM Bryan, RM Martin, R Reyes, AC Lakmazaheri, SH Collins
Wearable Technologies, 2021
[article] [pdf]

Drug repositioning in epilepsy reveals novel anti-seizure candidates
L Brueggeman, ML Sturgeon, RM Martin, AJ Grossbach, Y Nagahama, A Zhang, MA Howard III, H Kawasaki, S Wu, RA Cornell, JJ Michaelson, AG Bassuk
Annals of Clinical and Translational Neurology, 2019
[article] [pdf]


Selected conference presentations and posters


Expediting human-in-the-loop optimization
RM Martin, SH Collins
Talk presented at: Dynamic Walking, 2023, Munich, Germany
[video abstract]

Identifying the best two-joint combination of hip, knee, and ankle exoskeleton assistance
RM Martin, PW Franks, GM Bryan, AC Lakmazaheri, SH Collins
Poster presented at: Dynamic Walking, 2021, Virtual
[poster]

The effect of joint angle and contraction velocity on measured muscle activation at the elbow and knee
RM Martin, LA Frey Law
Poster presented at: Biomedical Engineering Society, 2019, Philadelphia, PA
[abstract]

Other projects


System Analyst Internship in Robotic Algorithms and Controls Engineering
I developed kinematics algorithms for environment-aware trajectory planning and implemented an optical system to automate alignment between the surgical end-effector and test environment, improving testing reliability. I also deployed and tested this system, which will save an estimated 6,500 person-hours per year.
[intuitive surgical website]


Wheeled basketball-playing robot
I was part of a team of 3 students that designed a robot that autonomously navigated a course and shot balls into a basket. In this competition, we finished 2nd of 10 teams. I used Onshape for CAD, I programmed a PIC32 using C, and I used KiCad for schematic design.
[website]

Predicting knee contact force using machine learning
I was part of a team of 2 students that built a machine learning model using Scikit-Learn to predict the joint contact force in the knee during walking, an important indicator in the development of osteoarthritis.
[poster] [paper]

AI model for playing Risk
I built a Deep-Q reinforcement learning model that played the game Risk using TensorFlow.
[video] [github]

Mars rover
I was the president and mechanical team lead of the UI Robotics Club. We built a Mars rover capable of terrain traversal, autonomous operation, and manipulation. I oversaw the mechanical design of the chassis and end-effector, including CAD, manufacturing, and problem-solving. I led the club to its first competition appearance at the Canadian International Rover Competition.

3D Printing Volunteer Teacher
I co-led a semester-long effort to teach a group of middle schoolers the basics of 3D printing in collaboration with Foundation for a College Educuation. Students learned design sketching, CAD, and tolerancing, and at the end of the semester, designed and built their own puzzle cubes.