pith. sign in

arxiv: 1705.04226 · v2 · pith:ZJ7S4NUFnew · submitted 2017-05-11 · 💻 cs.RO

Robot Planning with Mathematical Models of Human State and Action

Anca D. Dragan This is my paper
classification 💻 cs.RO
keywords modelspeopledifferentinteractinginteractionplanplanningrobot
0
0 comments X
read the original abstract

Robots interacting with the physical world plan with models of physics. We advocate that robots interacting with people need to plan with models of cognition. This writeup summarizes the insights we have gained in integrating computational cognitive models of people into robotics planning and control. It starts from a general game-theoretic formulation of interaction, and analyzes how different approximations result in different useful coordination behaviors for the robot during its interaction with people.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. HumanFlow -- Diffusion-Driven MAV Navigation Among Humans via Tightly-Coupled Motion Tracking, Forecasting, and Control

    cs.RO 2026-05 unverdicted novelty 7.0

    HumanFlow is a latent diffusion model for unified human motion tracking and forecasting in 3D scenes, tightly coupled via flow-matching MPC to an approximate policy for MAV social navigation that outperforms prior met...