4 papers
Intrinsic Vicarious Conditioning for Deep Reinforcement Learning
Rodney A Sanchez, Ferat Sahin, Alex Ororbia +1
Advancements in reinforcement learning have produced a variety of complex and useful intrinsic driving forces; crucially, these drivers operate under a direct conditioning paradigm…
Avoiding Death through Fear Intrinsic Conditioning
Rodney Sanchez, Ferat Sahin, Alexander Ororbia +1
Biological and psychological concepts have inspired reinforcement learning algorithms to create new complex behaviors that expand agents' capacity. These behaviors can be seen in t…
Using 3-D LiDAR Data for Safe Physical Human-Robot Interaction
Sarthak Arora, Karthik Subramanian, Odysseus Adamides +1
This paper explores the use of 3D lidar in a physical Human-Robot Interaction (pHRI) scenario. To achieve the aforementioned, experiments were conducted to mimic a modern shop-floo…
Spatial and Temporal Attention-based emotion estimation on HRI-AVC dataset
Karthik Subramanian, Saurav Singh, Justin Namba +3
Many attempts have been made at estimating discrete emotions (calmness, anxiety, boredom, surprise, anger) and continuous emotional measures commonly used in psychology, namely `va…