22 citations · 42 across the 15 of their papers we have counts for
13 papers
Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation
Bo Fu, William Smith, Denise Rizzo +3
This paper presents a learning framework to estimate an agent capability and task requirement model for multi-agent task allocation. With a set of team configurations and the corre…
Deep Convolutional Neural Network and Transfer Learning for Locomotion Intent Prediction
Duong Le, Shihao Cheng, Robert D. Gregg +1
Powered prosthetic legs must anticipate the user's intent when switching between different locomotion modes (e.g., level walking, stair ascent/descent, ramp ascent/descent). Numero…
SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria +1
This work proposes a new framework for a socially-aware dynamic local planner in crowded environments by building on the recently proposed Trajectory-ranked Maximum Entropy Deep In…
BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching
Jingwei Song, Qiuchen Zhu, Jianyu Lin +1
In stereoscope-based Minimally Invasive Surgeries (MIS), dense stereo matching plays an indispensable role in 3D shape recovery, AR, VR, and navigation tasks. Although numerous Dee…
Lie Algebraic Cost Function Design for Control on Lie Groups
Sangli Teng, William Clark, Anthony Bloch +2
This paper presents a control framework on Lie groups by designing the control objective in its Lie algebra. Control on Lie groups is challenging due to its nonlinear nature and di…
Input Influence Matrix Design for MIMO Discrete-Time Ultra-Local Model
Sangli Teng, Amit K. Sanyal, Ram Vasudevan +2
Ultra-Local Models (ULM) have been applied to perform model-free control of nonlinear systems with unknown or partially known dynamics. Unfortunately, extending these methods to MI…