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Found 5 papers, 0 papers with code
Learning active tactile perception through belief-space control
These robots will need to sense these properties through interaction prior to performing downstream tasks with the objects.
Generalizable Imitation Learning Through Pre-Trained Representations
In this paper we leverage self-supervised vision transformer models and their emergent semantic abilities to improve the generalization abilities of imitation learning policies.
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor
An STS sensor can be switched between visual and tactile modes by leveraging a semi-transparent surface and controllable lighting, allowing for both pre-contact visual sensing and during-contact tactile sensing with a single sensor.
SAGE: Smart home Agent with Grounded Execution
The common sense reasoning abilities and vast general knowledge of Large Language Models (LLMs) make them a natural fit for interpreting user requests in a Smart Home assistant context.
CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction Execution for Robots
This work explores the capacity of large language models (LLMs) to address problems at the intersection of spatial planning and natural language interfaces for navigation.
