69 citations · 119 across the 7 of their papers we have counts for
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LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models
Xiaohan Zhang, Yan Ding, Yohei Hayamizu +6
Task planning and motion planning are two of the most important problems in robotics, where task planning methods help robots achieve high-level goals and motion planning methods m…
DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
Peiqi Liu, Zhanqiu Guo, Mohit Warke +4
Significant progress has been made in open-vocabulary mobile manipulation, where the goal is for a robot to perform tasks in any environment given a natural language description. H…
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
Haritheja Etukuru, Norihito Naka, Zijin Hu +7
Robot models, particularly those trained with large amounts of data, have recently shown a plethora of real-world manipulation and navigation capabilities. Several independent effo…
HACMan++: Spatially-Grounded Motion Primitives for Manipulation
Bowen Jiang, Yilin Wu, Wenxuan Zhou +2
Although end-to-end robot learning has shown some success for robot manipulation, the learned policies are often not sufficiently robust to variations in object pose or geometry. T…
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics
Peiqi Liu, Yaswanth Orru, Jay Vakil +3
Remarkable progress has been made in recent years in the fields of vision, language, and robotics. We now have vision models capable of recognizing objects based on language querie…
Real-World Robot Applications of Foundation Models: A Review
Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella +3
Recent developments in foundation models, like Large Language Models (LLMs) and Vision-Language Models (VLMs), trained on extensive data, facilitate flexible application across dif…
Automated Generation of Robotic Planning Domains from Observations
Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
Automated planning enables robots to find plans to achieve complex, long-horizon tasks, given a planning domain. This planning domain consists of a list of actions, with their asso…