activity
20172024
most citedRethinking Trajectory Forecasting Evaluation

8 citations · 16 across the 9 of their papers we have counts for

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Showing cs.ROShow all

11 papers · 1 filter

cs.RO2021

Injecting Planning-Awareness into Prediction and Detection Evaluation

Boris Ivanovic, Marco Pavone

Detecting other agents and forecasting their behavior is an integral part of the modern robotic autonomy stack, especially in safety-critical scenarios entailing human-robot intera…

cs.RO20218 cited

Rethinking Trajectory Forecasting Evaluation

Boris Ivanovic, Marco Pavone

Forecasting the behavior of other agents is an integral part of the modern robotic autonomy stack, especially in safety-critical scenarios with human-robot interaction, such as aut…

cs.RO2020

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…

cs.RO20201 cited

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…

cs.RO2020

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…

cs.RO2020

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…