Stay on the path: Instruction fidelity in vision-and-language navigation

V Jain, G Magalhaes, A Ku, A Vaswani, E Ie… - arXiv preprint arXiv …, 2019 - arxiv.org
Advances in learning and representations have reinvigorated work that connects language
to other modalities. A particularly exciting direction is Vision-and-Language Navigation …

[HTML][HTML] The state of lifelong learning in service robots: Current bottlenecks in object perception and manipulation

SH Kasaei, J Melsen, F van Beers, C Steenkist… - Journal of Intelligent & …, 2021 - Springer
Abstract Service robots are appearing more and more in our daily life. The development of
service robots combines multiple fields of research, from object perception to object …

Orthographicnet: A deep transfer learning approach for 3-d object recognition in open-ended domains

SH Kasaei - IEEE/ASME Transactions on Mechatronics, 2020 - ieeexplore.ieee.org
Nowadays, service robots are appearing more and more in our daily life. For this type of
robot, open-ended object category learning and recognition is necessary since no matter …

Visual curiosity: Learning to ask questions to learn visual recognition

J Yang, J Lu, S Lee, D Batra, D Parikh - arXiv preprint arXiv:1810.00912, 2018 - arxiv.org
In an open-world setting, it is inevitable that an intelligent agent (eg, a robot) will encounter
visual objects, attributes or relationships it does not recognize. In this work, we develop an …

Opportunistic active learning for grounding natural language descriptions

J Thomason, A Padmakumar… - … on robot learning, 2017 - proceedings.mlr.press
Active learning identifies data points from a pool of unlabeled examples whose labels, if
made available, are most likely to improve the predictions of a supervised model. Most …

Perceiving, learning, and recognizing 3d objects: An approach to cognitive service robots

S Kasaei, J Sock, LS Lopes, AM Tomé… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
There is growing need for robots that can interact with people in everyday situations. For
service robots, it is not reasonable to assume that one can pre-program all object categories …

Artificial intelligence with fuzzy logic system for learning management evaluation in higher educational systems

ZY Lv, H Shen - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
In this paper, the mathematical model and algorithm based on knowledge forgetting curve
are studied. Through the analysis of the current mathematical modeling and application of …

[PDF][PDF] Improving grounded language acquisition efficiency using interactive labeling

N Pillai, KK Budhraja, C Matuszek - UMBC Student Collection, 2016 - mdsoar.org
Natural language has emerged as a powerful, intuitive interface for robot-human
communication. There has been substantial work in recent years on grounded language …

RoboSherlock: Cognition-enabled robot perception for everyday manipulation tasks

F Bálint-Benczédi, JH Worch, D Nyga, N Blodow… - arXiv preprint arXiv …, 2019 - arxiv.org
A pressing question when designing intelligent autonomous systems is how to integrate the
various subsystems concerned with complementary tasks. More specifically, robotic vision …

Desk organization: Effect of multimodal inputs on spatial relational learning

R Rowe, S Singhal, D Yi… - 2019 28th IEEE …, 2019 - ieeexplore.ieee.org
For robots to operate in a three dimensional world and interact with humans, learning spatial
relationships among objects in the surrounding is necessary. Reasoning about the state of …