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09/09/2023
osmAG: Hierarchical Semantic Topometric Area Graph Maps in the OSM Format for Mobile Robotics
Maps are essential to mobile robotics tasks like localization and planni...
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02/10/2023
Translating Natural Language to Planning Goals with Large-Language Models
Recent large language models (LLMs) have demonstrated remarkable perform...
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12/18/2022
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
Robots are traditionally bounded by a fixed embodiment during their oper...
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12/15/2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Deep reinforcement learning has recently emerged as an appealing alterna...
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11/08/2022
Strictly Breadth-First AMR Parsing
AMR parsing is the task that maps a sentence to an AMR semantic graph au...
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08/15/2022
Action Recognition based on Cross-Situational Action-object Statistics
Machine learning models of visual action recognition are typically train...
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03/04/2022
OmniWheg: An Omnidirectional Wheel-Leg Transformable Robot
This paper presents the design, analysis, and performance evaluation of ...
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02/24/2022
Multi-Modal Legged Locomotion Framework with Automated Residual Reinforcement Learning
While quadruped robots usually have good stability and load capacity, bi...
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12/09/2021
Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data
Nowadays many cities around the world have introduced electric buses to ...
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11/15/2021
Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing
Robots with the ability to actively acquire power from surroundings will...
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07/14/2021
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
We present the visually-grounded language modelling track that was intro...
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06/12/2021
Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
We analyze egocentric views of attended objects from infants. This paper...
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04/15/2021
Sparse online relative similarity learning
For many data mining and machine learning tasks, the quality of a simila...
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06/04/2020
A Computational Model of Early Word Learning from the Infant's Point of View
Human infants have the remarkable ability to learn the associations betw...
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10/31/2019
A Self Validation Network for Object-Level Human Attention Estimation
Due to the foveated nature of the human vision system, people can focus ...
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06/04/2019
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Inspired by the remarkable ability of the infant visual learning system,...
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02/10/2019
Adversarially Trained Model Compression: When Robustness Meets Efficiency
The robustness of deep models to adversarial attacks has gained signific...
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01/29/2019
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Decentralized Online Learning (online learning in decentralized networks...
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10/28/2018
P-MCGS: Parallel Monte Carlo Acyclic Graph Search
Recently, there have been great interests in Monte Carlo Tree Search (MC...
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10/17/2018
Distributed Learning over Unreliable Networks
Most of today's distributed machine learning systems assume reliable ne...
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03/17/2018
Multi-device, Multi-tenant Model Selection with GP-EI
Bayesian optimization is the core technique behind the emergence of Auto...
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05/30/2017