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Policies & Campus Resources

This course follows University policies (integrity, conduct, accessibility, attendance, grades, IP). See campus policy pages and the syllabus for full details.

Academic Integrity (Course-specific)

  • Unauthorized collaboration or AI-generated solutions are not permitted unless explicitly allowed.
  • Pledge on each assessment: “I pledge on my honor that I have not given or received any unauthorized assistance on this exam/assignment.”
  • When in doubt about collaboration boundaries, ask the course staff.

AI Usage (Course-specific)

  • You may use AI tools for brainstorming/review; your final submissions must be your own.
  • Never run AI-generated code on physical robots.

Accessibility & Accommodations

UMD ADS provides accommodations; contact the instructor promptly to arrange.

Title IX & Mandatory Reporting

The instructor is a Responsible University Employee. Confidential resources include CARE to Stop Violence and the Counseling Center.

Participation & Attendance

Attendance and on-time arrival are essential, especially for group studios/labs. If you must miss your assigned lab time, message TAs via Piazza in advance and coordinate with your team.

Safety Guidelines

Robot Lab Safety

  • Safety training is mandatory before entering the robot lab
  • Never bypass safety systems or remove safety guards
  • Keep clear of robot workspace during operation
  • Use emergency stop buttons if needed
  • Report safety concerns immediately to course staff

General Lab Safety

  • Follow all posted safety procedures
  • Wear appropriate safety gear when required
  • Keep work areas clean and organized
  • Report equipment malfunctions immediately
  • No food or drink in lab areas

Emergency Procedures

  • Medical emergency: Call 911 or campus police
  • Fire/equipment emergency: Use emergency stops, evacuate if needed
  • Robot malfunction: Stop all operations, contact TA immediately

Lab Policies

  • Equipment care: use provided fixtures; report damaged components immediately.
  • Access: only students who completed safety training may enter the robot lab unsupervised.
  • Check-in/out: let the TA know when you start/finish, especially when using UR3e cells outside class time.
  • Documentation: log incidents, bugs, or hardware issues on Piazza so the next team is aware.

Course Evaluation

Please complete Student Feedback on Course Experiences at semester end.