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09/20/2023
Simulation-aided Learning from Demonstration for Robotic LEGO Construction
Recent advancements in manufacturing have a growing demand for fast, aut...
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09/05/2023
A Lightweight and Transferable Design for Robust LEGO Manipulation
LEGO is a well-known platform for prototyping pixelized objects. However...
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08/20/2023
Robotic Planning under Hierarchical Temporal Logic Specifications
Past research into robotic planning with temporal logic specifications, ...
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06/20/2023
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control
Human-robot collaboration (HRC) is one key component to achieving flexib...
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05/25/2023
Robotic LEGO Assembly and Disassembly from Human Demonstration
This paper studies automatic prototyping using LEGO. To satisfy individu...
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05/23/2023
GUARD: A Safe Reinforcement Learning Benchmark
Due to the trial-and-error nature, it is typically challenging to apply ...
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03/17/2023
Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction
Safety is critical in robotic tasks. Energy function based methods have ...
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11/29/2022
Double Robust Bayesian Inference on Average Treatment Effects
We study a double robust Bayesian inference procedure on the average tre...
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09/20/2022
Task-Agnostic Adaptation for Safe Human-Robot Handover
Human-robot interaction (HRI) is an important component to improve the f...
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04/18/2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation
Privacy protection is an essential issue in personalized news recommenda...
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04/06/2022
Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm
The need to increase the flexibility of production lines is calling for ...
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03/28/2022
FLDP: Flexible strategy for local differential privacy
Local differential privacy (LDP), a technique applying unbiased statisti...
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02/16/2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Federated learning (FL) is an important paradigm for training global mod...
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09/12/2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
News recommendation is critical for personalized news access. Most exist...
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08/30/2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation
Federated learning is widely used to learn intelligent models from decen...
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08/16/2021
IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance
Neural networks (NNs) are widely used for classification tasks for their...
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09/17/2020
FLAME: Differentially Private Federated Learning in the Shuffle Model
Differentially private federated learning has been intensively studied. ...
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03/24/2020