Interactive learning from activity description
We present a novel interactive learning protocol that enables training request-fulfilling
agents by verbally describing their activities. Unlike imitation learning (IL), our protocol …
agents by verbally describing their activities. Unlike imitation learning (IL), our protocol …
Human–robot communications of probabilistic beliefs via a Dirichlet process mixture of statements
R Tse, M Campbell - IEEE Transactions on Robotics, 2018 - ieeexplore.ieee.org
This paper presents a natural framework for information sharing in cooperative tasks
involving humans and robots. In this framework, all information gathered over time by a …
involving humans and robots. In this framework, all information gathered over time by a …
Human-robot information sharing with structured language generation from probabilistic beliefs
R Tse, M Campbell - … on Intelligent Robots and Systems (IROS), 2015 - ieeexplore.ieee.org
This paper presents a framework for information sharing and fusion in cooperative tasks
involving humans and robots. In this context, all information regarding the state of interest is …
involving humans and robots. In this context, all information regarding the state of interest is …
Enriching Communication Between Humans and AI Agents
K Nguyen - 2022 - search.proquest.com
Equipping AI agents with effective, human-compatible communication capabilities is pivotal
to enabling them to effectively serve and aid humans. On one hand, agents should …
to enabling them to effectively serve and aid humans. On one hand, agents should …
Grounding language by continuous observation of instruction following
T Han, D Schlangen - Proceedings of the 15th Conference of the …, 2017 - aclanthology.org
Grounded semantics is typically learnt from utterance-level meaning representations (eg,
successful database retrievals, denoted objects in images, moves in a game). We explore …
successful database retrievals, denoted objects in images, moves in a game). We explore …
[图书][B] Robotic perception of terrain and language from probabilistic beliefs
R Tse - 2016 - search.proquest.com
This thesis addresses two challenges in the area of autonomous robotics; firstly probabilistic
modeling of terrain perception under uncertainties in measurement inputs, and secondly the …
modeling of terrain perception under uncertainties in measurement inputs, and secondly the …