Workshop Papers
Research papers on methods, systems, evaluation, and lessons for robots operating around people over extended periods.
Call for contributions
Call for Contributions
We invite paper submissions and poster contributions on full-shift robot co-workers: robots that can perceive, reason, coordinate, recover, and remain useful across long periods of real work around people.
Submissions opening soon
We welcome both technical papers and grounded field perspectives.
The workshop is especially interested in work that connects perception, planning, learning, evaluation, and human-robot interaction to the practical problem of keeping robots useful through complete workplace shifts.
Accepted submissions will be invited for poster presentation, and selected submissions may be invited for spotlight talks, panel discussion, or workshop awards, subject to the final program.
CFP statusStay tuned
- Submission link
- Coming soon
- Deadlines
- To be announced
- Format
- Paper, short paper, poster, or deployment report
Topics of interest
What we are looking for
- Long-horizon robot autonomy across real work shifts
- Active perception, state estimation, mapping, and scene understanding
- Task planning, scheduling, recovery, and continual operation
- Human-robot coordination, intent understanding, and safe interaction
- Embodied AI and foundation models for workplace robots
- Evaluation protocols, benchmarks, metrics, and reproducibility
- Reliability, failure analysis, negative results, and deployment lessons
- Industrial, warehouse, hospital, campus, and service-robot case studies
Submission types
Papers are welcome, and so are honest deployment lessons.
Short Papers
Early-stage ideas, compact technical contributions, and position papers that frame open problems for the community.
Posters and Demos
Poster presentations, system demonstrations, datasets, benchmarks, and work-in-progress results.
Deployment Reports
Field reports, failure cases, negative results, and practical observations from real robot operation.
Early-career track
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