Job Description

Job Summary

• Testbed Retrofitting (Robotic Enablement): Modify and upgrade existing physical testbeds to support automated robot interaction. Assemble and integrate quick-change kinematic fixtures, standardized device alignment trays, and physical datum markers based on provided engineering sketches or CAD models.
• Automation Experimentation: Set up and execute defined experimental configurations testing different combinations of:
• Hardware: Various COTS robotic arms, pneumatic grippers, force/torque sensors, and webcams.
• Software: Different control libraries, motion planning parameters, or basic vision detection scripts.
• Fixtures: Vacuum vs. mechanical clamping holding solutions.
• Environment: Varying lighting conditions or acoustic baffling solutions.
• Benchmarking & Data Collection: Run automated benchmarking routines across the experimental setups. Log quantitative metrics—such as cycle times, alignment repeatability, sensor noise, and failure rates—into structured data sheets or data repositories.
• Prototyping & Assembly: Perform basic mechanical assembly, 3D printing of experimental end-effector fingers, and minor wire harnessing/soldering to bring up prototype test configurations quickly.
• Defect & Triage Reporting: Document any physical collisions, script failures, or hardware incompatibilities observed during experimentation. Provide detailed reproduction logs and visual documentation (photos/videos) via internal bug tracking tools

Key Responsibilities

• Testbed Retrofitting (Robotic Enablement): Modify and upgrade existing physical testbeds to support automated robot interaction. Assemble and integrate quick-change kinematic fixtures, standardized device alignment trays, and physical datum markers based on provided engineering sketches or CAD models.
• Automation Experimentation: Set up and execute defined experimental configurations testing different combinations of:
• Hardware: Various COTS robotic arms, pneumatic grippers, force/torque sensors, and webcams.
• Software: Different control libraries, motion planning parameters, or basic vision detection scripts.
• Fixtures: Vacuum vs. mechanical clamping holding solutions.
• Environment: Varying lighting conditions or acoustic baffling solutions.
• Benchmarking & Data Collection: Run automated benchmarking routines across the experimental setups. Log quantitative metrics—such as cycle times, alignment repeatability, sensor noise, and failure rates—into structured data sheets or data repositories.
• Prototyping & Assembly: Perform basic mechanical assembly, 3D printing of experimental end-effector fingers, and minor wire harnessing/soldering to bring up prototype test configurations quickly.
• Defect & Triage Reporting: Document any physical collisions, script failures, or hardware incompatibilities observed during experimentation. Provide detailed reproduction logs and visual documentation (photos/videos) via internal bug tracking tools

Skill Requirements

• Bachelor's degree in Mechatronics, Mechanical Engineering Technology, Robotics, or equivalent practical experience in an electromechanical R&D lab.
• Hands-on experience setting up, operating, and basic scripting of collaborative robot arms (e.g., Universal Robots).
• Proficiency in Python for running, tweaking, and debugging experimental data logging scripts.
• Experience with rapid prototyping tools (3D printing, hand tools, basic soldering).
• Ability to read CAD models (SolidWorks/NX) and execute precise mechanical adjustments.

Other Requirements

null