Nicholas Rhinehart
Assistant Professor
Leads the LEAF lab on robot learning, forecasting and decision-making for autonomous agents.
Nicholas Rhinehart's lab at Toronto works on manipulation & robot learning, embodied & active vision and reinforcement learning. 6 papers since 2023, 5 at top venues, mostly CoRL and NeurIPS. 6 PhD students and 3 master's students. 1 alumnus, most often to Robotics ML Engineer. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 83%
- PhD students
- 6
- MS students
- 3
- alumni listed
- 1
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 1
- 1 papers2024 · T1 1
- 2 papers2023 · T1 2
T1 venuesOtherVenues: CoRL, NeurIPS, ECCV, RA-L
Research focuspaper titles that use each topic's words
- Manipulation & robot learning2 papers
- Reinforcement learning1 paper
- Embodied & active vision0 papers
- toronto institute0 papers
- aerospace studies0 papers
Paper list
From the lab homepage.
20261 paper
20252 papers
20241 paper
Where alumni went1 listed, 100% to industry
Industry 1Academia 0
Most often to
- Robotics ML Engineer
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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