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09/20/2023
Are Large Language Models Really Robust to Word-Level Perturbations?
The swift advancement in the scale and capabilities of Large Language Mo...
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08/21/2023
Differentiable Frank-Wolfe Optimization Layer
Differentiable optimization has received a significant amount of attenti...
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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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06/05/2023
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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05/25/2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Data augmentation (DA) is a crucial technique for enhancing the sample e...
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05/24/2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training
Personalized federated learning (PFL) aims to produce the greatest perso...
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05/11/2023
Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling
Manual oropharyngeal (OP) swab sampling is an intensive and risky task. ...
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05/02/2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing
Federated learning (FL) is a collaborative learning paradigm for decentr...
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05/01/2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
To defend the inference attacks and mitigate the sensitive information l...
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03/30/2023
NN-Copula-CD: A Copula-Guided Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images
Change detection (CD) in heterogeneous remote sensing images is a practi...
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03/20/2023
Make Landscape Flatter in Differentially Private Federated Learning
To defend the inference attacks and mitigate the sensitive information l...
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03/02/2023
Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics
Vision-based deformable object manipulation is a challenging problem in ...
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02/21/2023
Deep Reinforcement Learning Based on Local GNN for Goal-conditioned Deformable Object Rearranging
Object rearranging is one of the most common deformable manipulation tas...
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02/21/2023
Graph-Transporter: A Graph-based Learning Method for Goal-Conditioned Deformable Object Rearranging Task
Rearranging deformable objects is a long-standing challenge in robotic m...
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02/08/2023
Improving the Model Consistency of Decentralized Federated Learning
To mitigate the privacy leakages and communication burdens of Federated ...
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01/28/2023
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning
Offline safe RL is of great practical relevance for deploying agents in ...
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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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12/14/2022
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning
Learning a risk-aware policy is essential but rather challenging in unst...
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12/12/2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks
Safety comes first in many real-world applications involving autonomous ...
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11/30/2022
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds
The accurate detection and grasping of transparent objects are challengi...
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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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10/14/2022
MCTNet: A Multi-Scale CNN-Transformer Network for Change Detection in Optical Remote Sensing Images
For the task of change detection (CD) in remote sensing images, deep con...
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10/10/2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Visual reinforcement learning (RL), which makes decisions directly from ...
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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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08/25/2022
Polarimetric Inverse Rendering for Transparent Shapes Reconstruction
In this work, we propose a novel method for the detailed reconstruction ...
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06/17/2022
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving
Safe reinforcement learning (RL) has achieved significant success on ris...
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05/24/2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Safe reinforcement learning aims to learn the optimal policy while satis...
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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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02/21/2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
One of the key challenges in visual Reinforcement Learning (RL) is to le...
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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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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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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