Refining 6-DoF Grasps with Context-Specific Classifiers
We propose a sampling-based grasp synthesis framework, GraspFlow, to generate context-specific grasps. We test GraspFlow in a real-world table-top grasping task.
Posts
Laruso blog features productivity, tips, inspiration and strategies for massive profits. Find out how to set up a successful blog or how to make yours even better!
Introducing Dr. Sreejith Balakrishnan!
Congratulations Sreejith on successfully defending his thesis! Sreejith’s work was on value alignment in human-centric AI/robots. Check out his Neurips pap...
Early Career Spotlight at R:SS 2023!
Harold has been awarded an Early Career Spotlight at the Robotics: Science and Systems 2023. The Early Career Spotlight “* acknowledges the outstanding acc...
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
We develop a family of stable continuous-time neural state space-models.
Generative Modeling with Flow-Guided Density Ratio Learning
We extend gradient flow methods to a variety of high-quality image synthesis tasks using a novel density ratio learning method.
Introducing Dr. Xie Yaqi.
Xie Yaqi successfully defended her thesis and is now Dr. Xie. Congratulations Yaqi! You can find out more about Yaqi’s work on embedding symbolic knowledg...
Translating Natural Language to Planning Goals with Large-Language Models
We contribute an empirical study into the effectiveness of LLMs, specifically GPT-3.5 variants, for the task of natural language goal translation to PDDL.