78 citations · 224 across the 28 of their papers we have counts for
7 papers · 1 filter
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction
Joseph P. Distefano, Hemanth Manjunatha, Souma Chowdhury +3
Human-swarm interaction has recently gained attention due to its plethora of new applications in disaster relief, surveillance, rescue, and exploration. However, if the task diffic…
Learning Robot Swarm Tactics over Complex Adversarial Environments
Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar +8
To accomplish complex swarm robotic missions in the real world, one needs to plan and execute a combination of single robot behaviors, group primitives such as task allocation, pat…
Cogradient Descent for Dependable Learning
Runqi Wang, Baochang Zhang, Li'an Zhuo +2
Conventional gradient descent methods compute the gradients for multiple variables through the partial derivative. Treating the coupled variables independently while ignoring the i…
Oriented Object Detection with Transformer
Teli Ma, Mingyuan Mao, Honghui Zheng +6
Object detection with Transformers (DETR) has achieved a competitive performance over traditional detectors, such as Faster R-CNN. However, the potential of DETR remains largely un…
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Mingyuan Mao, Baochang Zhang, David Doermann +5
Model ensembles are becoming one of the most effective approaches for improving object detection performance already optimized for a single detector. Conventional methods directly…
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas
Leighton Collins, Payam Ghassemi, Ehsan T. Esfahani +3
This paper presents a novel multi-robot coverage path planning (CPP) algorithm - aka SCoPP - that provides a time-efficient solution, with workload balanced plans for each robot in…