A survey of imitation learning: Algorithms, recent developments, and challenges
M Zare, PM Kebria, A Khosravi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the development of robotics and artificial intelligence (AI) systems has been
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …
Offline imitation learning through graph search and retrieval
Imitation learning is a powerful machine learning algorithm for a robot to acquire
manipulation skills. Nevertheless, many real-world manipulation tasks involve precise and …
manipulation skills. Nevertheless, many real-world manipulation tasks involve precise and …
Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots
Assigning repetitive and physically demanding construction tasks to robots can alleviate
human workers' exposure to occupational injuries, which often result in significant downtime …
human workers' exposure to occupational injuries, which often result in significant downtime …
Towards Effective Utilization of Mixed-Quality Demonstrations in Robotic Manipulation via Segment-Level Selection and Optimization
Data is crucial for robotic manipulation, as it underpins the development of robotic systems
for complex tasks. While high-quality, diverse datasets enhance the performance and …
for complex tasks. While high-quality, diverse datasets enhance the performance and …
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
In Imitation Learning (IL), utilizing suboptimal and heterogeneous demonstrations presents a
substantial challenge due to the varied nature of real-world data. However, standard IL …
substantial challenge due to the varied nature of real-world data. However, standard IL …
Multi-stage multi-modal pre-training for automatic speech recognition
Recent advances in machine learning have demonstrated that multi-modal pre-training can
improve automatic speech recognition (ASR) performance compared to randomly initialized …
improve automatic speech recognition (ASR) performance compared to randomly initialized …