Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
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 …
Learning fine-grained bimanual manipulation with low-cost hardware
Fine manipulation tasks, such as threading cable ties or slotting a battery, are notoriously
difficult for robots because they require precision, careful coordination of contact forces, and …
difficult for robots because they require precision, careful coordination of contact forces, and …
No, to the right: Online language corrections for robotic manipulation via shared autonomy
Systems for language-guided human-robot interaction must satisfy two key desiderata for
broad adoption: adaptivity and learning efficiency. Unfortunately, existing instruction …
broad adoption: adaptivity and learning efficiency. Unfortunately, existing instruction …
Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis
Expert demonstrations are a rich source of supervision for training visual robotic
manipulation policies, but imitation learning methods often require either a large number of …
manipulation policies, but imitation learning methods often require either a large number of …
Interactive imitation learning in robotics: A survey
Interactive Imitation Learning in Robotics: A Survey Page 1 Interactive Imitation Learning in
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …
Human-in-the-loop task and motion planning for imitation learning
Imitation learning from human demonstrations can teach robots complex manipulation skills,
but is time-consuming and labor intensive. In contrast, Task and Motion Planning (TAMP) …
but is time-consuming and labor intensive. In contrast, Task and Motion Planning (TAMP) …
Mimicgen: A data generation system for scalable robot learning using human demonstrations
Imitation learning from a large set of human demonstrations has proved to be an effective
paradigm for building capable robot agents. However, the demonstrations can be extremely …
paradigm for building capable robot agents. However, the demonstrations can be extremely …
Benchmarks and algorithms for offline preference-based reward learning
Learning a reward function from human preferences is challenging as it typically requires
having a high-fidelity simulator or using expensive and potentially unsafe actual physical …
having a high-fidelity simulator or using expensive and potentially unsafe actual physical …
Data quality in imitation learning
In supervised learning, the question of data quality and curation has been sidelined in
recent years in favor of increasingly more powerful and expressive models that can ingest …
recent years in favor of increasingly more powerful and expressive models that can ingest …