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Samuel Schmidgall

4 accepted papers

2025

Agent Laboratory: Using LLM Agents as Research Assistants

EMNLP 2025

Historically, scientific discovery has been a lengthy and costly process, demanding substantial time and resources from initial conception to final results. To accelerate scientific discovery, reduce research costs, and improve research quality, we introduce Agent Laboratory, an autonomous LLM-based

Cited by 0SourcePDFScholar
2024

Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots

ICRA 2024poster

Recent advances in robot-assisted surgery have resulted in progressively more precise, efficient, and minimally invasive procedures, sparking a new era of robotic surgical intervention. This enables doctors, in collaborative interaction with robots, to perform traditional or minimally invasive surge…

Cited by 21SourcecodeScholar
2024

Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks

CoRL 2024poster

We explore whether surgical manipulation tasks can be learned on the da Vinci robot via imitation learning. However, the da Vinci system presents unique challenges which hinder straight-forward implementation of imitation learning. Notably, its forward kinematics is inconsistent due to imprecise joi…

Cited by 27SourceScholar
2024

Tracking Tumors under Deformation from Partial Point Clouds using Occupancy Networks

IROS 2024poster

To track tumors during surgery, information from preoperative CT scans is used to determine their position. However, as the surgeon operates, the tumor may be deformed which presents a major hurdle for accurately resecting the tumor, and can lead to surgical inaccuracy, increased operation time, and…

Cited by 2SourceScholar