Heterogeneous interaction modeling with reduced accumulated error for multiagent trajectory prediction
S Chen, J Wang - IEEE Transactions on Neural Networks and …, 2022 - ieeexplore.ieee.org
Dynamical complex systems composed of interactive heterogeneous agents are prevalent in
the world, including urban traffic systems and social networks. Modeling the interactions …
the world, including urban traffic systems and social networks. Modeling the interactions …
Ordinary differential equations based model for robot trajectories learning on irregular time series
E Bartosevič - 2022 - epublications.vu.lt
Abstract [eng] Irregularly-sampled time series occur in many real-world applications, such as
robots movement, astronomy, medicine. In this master's thesis, we concentrate on learning …
robots movement, astronomy, medicine. In this master's thesis, we concentrate on learning …
[PDF][PDF] Dice Stacking: A Dynamic Manipulation Task
H Goforth, L Keselman - emrecanacikgoz.github.io
We present dice stacking as a highly dynamic, task that can serve as a model problem for
robotic manipulation. While a seemingly simple human manipulation task, containing only a …
robotic manipulation. While a seemingly simple human manipulation task, containing only a …