211 citations · 1.2k across the 80 of their papers we have counts for
6 papers · 1 filter
Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework
Varun Chandra Jammula, Anshul Rai, Yezhou Yang
Given a mapped environment, we formulate the problem of visually tracking and following an evader using a probabilistic framework. In this work, we consider a non-holonomic robot w…
How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving
Yi Ren, Steven Elliott, Yiwei Wang +2
While intelligence of autonomous vehicles (AVs) has significantly advanced in recent years, accidents involving AVs suggest that these autonomous systems lack gracefulness in drivi…
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment
Xin Ye, Zhe Lin, Joon-Young Lee +3
We study the problem of learning a generalizable action policy for an intelligent agent to actively approach an object of interest in an indoor environment solely from its visual i…
Co-active Learning to Adapt Humanoid Movement for Manipulation
Ren Mao, John S. Baras, Yezhou Yang +1
In this paper we address the problem of robot movement adaptation under various environmental constraints interactively. Motion primitives are generally adopted to generate target…
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots
Chengxi Ye, Yezhou Yang, Cornelia Fermuller +1
For robots that have the capability to interact with the physical environment through their end effectors, understanding the surrounding scenes is not merely a task of image classi…
Learning the Semantics of Manipulation Action
Yezhou Yang, Yiannis Aloimonos, Cornelia Fermuller +1
In this paper we present a formal computational framework for modeling manipulation actions. The introduced formalism leads to semantics of manipulation action and has applications…