2 citations · 4 across the 4 of their papers we have counts for
7 papers · 1 filter
OVAL-Grasp: Open-Vocabulary Affordance Localization for Task Oriented Grasping
Edmond Tong, Advaith Balaji, Anthony Opipari +3
To manipulate objects in novel, unstructured environments, robots need task-oriented grasps that target object parts based on the given task. Geometry-based methods often struggle…
OVAL-Prompt: Open-Vocabulary Affordance Localization for Robot Manipulation through LLM Affordance-Grounding
Edmond Tong, Anthony Opipari, Stanley Lewis +2
In order for robots to interact with objects effectively, they must understand the form and function of each object they encounter. Essentially, robots need to understand which act…
Probabilistic Inference in Planning for Partially Observable Long Horizon Problems
Alphonsus Adu-Bredu, Nikhil Devraj, Pin-Han Lin +2
For autonomous service robots to successfully perform long horizon tasks in the real world, they must act intelligently in partially observable environments. Most Task and Motion P…
Elephants Don't Pack Groceries: Robot Task Planning for Low Entropy Belief States
Alphonsus Adu-Bredu, Zhen Zeng, Neha Pusalkar +1
Recent advances in computational perception have significantly improved the ability of autonomous robots to perform state estimation with low entropy. Such advances motivate a reco…
Semantic Linking Maps for Active Visual Object Search
Zhen Zeng, Adrian Röfer, Odest Chadwicke Jenkins
We aim for mobile robots to function in a variety of common human environments. Such robots need to be able to reason about the locations of previously unseen target objects. Landm…
Semantic Mapping with Simultaneous Object Detection and Localization
Zhen Zeng, Yunwen Zhou, Odest Chadwicke Jenkins +1
We present a filtering-based method for semantic mapping to simultaneously detect objects and localize their 6 degree-of-freedom pose. For our method, called Contextual Temporal Ma…