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09/14/2023
Two Timin': Repairing Smart Contracts With A Two-Layered Approach
Due to the modern relevance of blockchain technology, smart contracts pr...
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05/25/2023
Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback
Large Language Models (LLMs) pre-trained on code have recently emerged a...
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11/22/2022
SRTGAN: Triplet Loss based Generative Adversarial Network for Real-World Super-Resolution
Many applications such as forensics, surveillance, satellite imaging, me...
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05/26/2021
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
Accurate reconstruction of static environments from LiDAR scans of scene...
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06/05/2020
Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization
We address the problem of adapting robot trajectories to improve safety,...
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01/28/2020
Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks
Robot task execution when situated in real-world environments is fragile...
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11/17/2019
Robotic Sculpting with Collision-free Motion Planning in Voxel Space
In this paper, we explore the task of robot sculpting. We propose a sear...
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11/17/2019