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09/17/2023
From Knowing to Doing: Learning Diverse Motor Skills through Instruction Learning
Recent years have witnessed many successful trials in the robot learning...
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07/14/2023
MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System
Multi-modal sarcasm detection has attracted much recent attention. Never...
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07/02/2023
RH-Map: Online Map Construction Framework of Dynamic Objects Removal Based on Region-wise Hash Map Structure
Mobile robots operating in outdoor environments frequently encounter the...
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06/15/2023
Path Generation for Wheeled Robots Autonomous Navigation on Vegetated Terrain
Wheeled robot navigation has been widely used in urban environments, but...
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06/06/2023
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Text classifiers built on Pre-trained Language Models (PLMs) have achiev...
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06/05/2023
Hybrid Trajectory Optimization for Autonomous Terrain Traversal of Articulated Tracked Robots
Autonomous terrain traversal of articulated tracked robots can reduce op...
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05/19/2023
Learning Diverse Risk Preferences in Population-based Self-play
Among the great successes of Reinforcement Learning (RL), self-play algo...
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01/08/2023
Foldsformer: Learning Sequential Multi-Step Cloth Manipulation With Space-Time Attention
Sequential multi-step cloth manipulation is a challenging problem in rob...
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11/18/2022
Policy Learning for Nonlinear Model Predictive Control with Application to USVs
The unaffordable computation load of nonlinear model predictive control ...
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11/11/2022
The Simplest Balance Controller for Dynamic Walking
Humans can balance very well during walking, even when perturbed. But it...
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09/18/2022
Dynamic Control Barrier Function-based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot
This paper presents an efficient and safe method to avoid static and dyn...
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09/01/2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
A key challenge of continual reinforcement learning (CRL) in dynamic env...
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03/09/2022
PUTN: A Plane-fitting based Uneven Terrain Navigation Framework
Autonomous navigation of ground robots has been widely used in indoor st...
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03/08/2022
Quadruped Guidance Robot for the Visually Impaired: A Comfort-Based Approach
A quadrupedal guidance robot that can guide people and avoid various obs...
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01/01/2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning
The integration of Reinforcement Learning (RL) and Evolutionary Algorith...
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12/07/2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Multi-agent reinforcement learning (MARL) has received increasing attent...
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11/15/2021
AI in Games: Techniques, Challenges and Opportunities
With breakthrough of AlphaGo, AI in human-computer game has become a ver...
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10/19/2021
Offline Reinforcement Learning with Value-based Episodic Memory
Offline reinforcement learning (RL) shows promise of applying RL to real...
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09/27/2021
Multiple-Pilot Collaboration for Advanced Remote Intervention using Reinforcement Learning
The traditional master-slave teleoperation relies on human expertise wit...
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09/01/2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
The powerful learning ability of deep neural networks enables reinforcem...
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06/09/2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
Recently, the object detection based on deep learning has proven to be v...
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03/09/2021
Orientation to Pose: Continuum Robots Shape Sensing Based on Piecewise Polynomial Curvature Model
Continuum robots are typically slender and flexible with infinite freedo...
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09/15/2020
Approximate Piecewise Constant Curvature Equivalent Model and Their Application to Continuum Robot Configuration Estimation
The continuum robot has attracted more attention for its flexibility. Co...
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06/05/2020
Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers
Data61 and Western Water worked collaboratively to apply engineering exp...
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09/16/2019
Meta-neural-network for Realtime and Passive Deep-learning-based Object Recognition
Deep-learning recently show great success across disciplines yet convent...
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06/17/2019