18 citations · 95 across the 62 of their papers we have counts for
5 papers · 2 filters
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions
Simon Schaefer, Karen Leung, Boris Ivanovic +1
To achieve seamless human-robot interactions, robots need to intimately reason about complex interaction dynamics and future human behaviors within their motion planning process. H…
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction
Haruki Nishimura, Boris Ivanovic, Adrien Gaidon +2
This paper presents a novel online framework for safe crowd-robot interaction based on risk-sensitive stochastic optimal control, wherein the risk is modeled by the entropic risk m…
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
Boris Ivanovic, Amine Elhafsi, Guy Rosman +2
Reasoning about human motion is a core component of modern human-robot interactive systems. In particular, one of the main uses of behavior prediction in autonomous systems is to i…
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach
Boris Ivanovic, Karen Leung, Edward Schmerling +1
Human behavior prediction models enable robots to anticipate how humans may react to their actions, and hence are instrumental to devising safe and proactive robot planning algorit…
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty +1
Reasoning about human motion is an important prerequisite to safe and socially-aware robotic navigation. As a result, multi-agent behavior prediction has become a core component of…