Getting aligned on representational alignment

I Sucholutsky, L Muttenthaler, A Weller, A Peng… - ar** via a knowledge graph of robotic manipulation: A graph representation learning approach
JH Kwak, J Lee, JJ Whang, S Jo - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Semantic gras** aims to make stable robotic grasps suitable for specific object
manipulation tasks. While existing semantic gras** models focus only on the gras** …

Interactive continual learning architecture for long-term personalization of home service robots

A Ayub, CL Nehaniv… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
For robots to perform assistive tasks in unstructured home environments, they must learn
and reason on the semantic knowledge of the environments. Despite a resurgence in the …

Consolidating Trees of Robotic Plans Generated Using Large Language Models to Improve Reliability

MS Sakib, Y Sun - arxiv preprint arxiv:2401.07868, 2024 - arxiv.org
The inherent probabilistic nature of Large Language Models (LLMs) introduces an element
of unpredictability, raising concerns about potential discrepancies in their output. This paper …