Stanford Root

Schedule

Stanford Root

Schedule

CS 339R

Collaborative Robotics (ME 326)

UNITS:3
GRADING:Letter (ABCD/NP)
LEVEL:Graduate
GER:—

This course focuses on how robots can be effective teammates with other robots and human partners. Concepts and tools will be reviewed for characterizing task objectives, robot perception and control, teammate behavioral modeling, inter-agent communication, and team consensus. We will consider the application of these tools to robot collaborators, wearable robotics, and the latest applications in the relevant literature. This will be a project-based graduate course, with the implementation of algorithms in either python or C++.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 6431
0 / 79 enrolled
DAYS:Tuesday, Thursday
TIME:12 PM – 1:20 PM
LOCATION:TBD
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 1Open
ID: 6534
0 / 25 enrolled
DAYS:Monday
TIME:4:30 PM – 5:50 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 2Open
ID: 6536
0 / 25 enrolled
DAYS:Tuesday
TIME:4:30 PM – 5:50 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 3Open
ID: 6535
0 / 25 enrolled
DAYS:Wednesday
TIME:4:30 PM – 5:50 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 4Open
ID: 6756
0 / 25 enrolled
DAYS:Thursday
TIME:4:30 PM – 5:50 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 5Open
ID: 6818
0 / 25 enrolled
DAYS:Monday
TIME:6 PM – 7:20 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 6Open
ID: 6819
0 / 25 enrolled
DAYS:Tuesday
TIME:6 PM – 7:20 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 7Open
ID: 6820
0 / 25 enrolled
DAYS:Wednesday
TIME:6 PM – 7:20 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units
Lab Section 8Open
ID: 6821
0 / 25 enrolled
DAYS:Thursday
TIME:6 PM – 7:20 PM
LOCATION:Departmental Room
INSTRUCTOR:
Kennedy, Monroe
3units

CS 339R: Collaborative Robotics (ME 326)

3 units · Letter (ABCD/NP)

This course focuses on how robots can be effective teammates with other robots and human partners. Concepts and tools will be reviewed for characterizing task objectives, robot perception and control, teammate behavioral modeling, inter-agent communication, and team consensus. We will consider the application of these tools to robot collaborators, wearable robotics, and the latest applications in the relevant literature. This will be a project-based graduate course, with the implementation of algorithms in either python or C++.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Tuesday Thursday 12:00 PM – 1:20 PM — Kennedy, Monroe (Graduate)
  • Lab Section — Monday 4:30 PM – 5:50 PM — Departmental Room — Kennedy, Monroe (Graduate)
  • Lab Section — Tuesday 4:30 PM – 5:50 PM — Departmental Room — Kennedy, Monroe (Graduate)
  • Lab Section — Monday 6:00 PM – 7:20 PM — Departmental Room — Kennedy, Monroe (Graduate)
  • Lab Section — Tuesday 6:00 PM – 7:20 PM — Departmental Room — Kennedy, Monroe (Graduate)
  • Lab Section — Wednesday 6:00 PM – 7:20 PM — Departmental Room — Kennedy, Monroe (Graduate)
  • Lab Section — Thursday 6:00 PM – 7:20 PM — Departmental Room — Kennedy, Monroe (Graduate)
  • Lab Section — Thursday 4:30 PM – 5:50 PM — Departmental Room — Kennedy, Monroe (Graduate)
  • Lab Section — Wednesday 4:30 PM – 5:50 PM — Departmental Room — Kennedy, Monroe (Graduate)

More CS courses

  • CS 331X: AI for Algorithmic Reasoning and Optimization (MS&E 331)
  • CS 333: Algorithms for Interactive Robotics
  • CS 334: Robots and Arts: Creative Applications and Projects (TAPS 334R)
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  • CS 338: Aligning Superintelligence (MS&E 338)
  • CS 340LX: Advanced Operating System Lab: Accelerated (II)
  • CS 340R: Rusty Systems
  • CS 342: Building for Digital Health (MED 253)
  • CS 343D: Domain-Specific Programming Models and Compilers
  • CS 343S: Domain-Specific Language Design Studio
  • CS 345: Building AI-Enabled Robots

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