15 citations · 31 across the 4 of their papers we have counts for
5 papers
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
Siddharth Patki, Ethan Fahnestock, Thomas M. Howard +1
Recent advances in data-driven models for grounded language understanding have enabled robots to interpret increasingly complex instructions. Two fundamental limitations of these m…
Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators
Ethan Fahnestock, Siddharth Patki, Thomas M. Howard
Language is an effective medium for bi-directional communication in human-robot teams. To infer the meaning of many instructions, robots need to construct a model of their surround…
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions
Siddharth Patki, Andrea F. Daniele, Matthew R. Walter +1
The speed and accuracy with which robots are able to interpret natural language is fundamental to realizing effective human-robot interaction. A great deal of attention has been pa…
Robot-Initiated Specification Repair through Grounded Language Interaction
Adrian Boteanu, Jacob Arkin, Siddharth Patki +2
Robots are required to execute increasingly complex instructions in dynamic environments, which can lead to a disconnect between the user's intent and the robot's representation of…
Learning Models for Following Natural Language Directions in Unknown Environments
Sachithra Hemachandra, Felix Duvallet, Thomas M. Howard +3
Natural language offers an intuitive and flexible means for humans to communicate with the robots that we will increasingly work alongside in our homes and workplaces. Recent advan…