activity
20202026
most citedTask and Motion Planning in Hierarchical 3D Scene Graphs

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Motion Planning for Mobile Manipulators Navigating Doorways via Model Predictive Control

Kasra Sinaei, Kasun Weerakoon, Christopher Bradley +2

Navigating doorways is a fundamental capability for mobile manipulators operating in human environments, requiring coordinated motion between the mobile base and manipulator arm. T…

cs.RO2026

StratMamba: Strategic and Reactive Stream Partitioning for Path-Efficient LiDAR-Based Obstacle Avoidance

Hung-Chieh Wu, Xiaopan Zhang, Kasra Sinaei +6

This paper proposes StratMamba, a dual-stream Mamba-based temporal modeling architecture, to more efficiently capture long-horizon temporal dependencies required for robot navigati…

cs.RO2025

Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs

Jared Strader, Aaron Ray, Jacob Arkin +11

In this paper, we introduce a multi-robot system that integrates mapping, localization, and task and motion planning (TAMP) enabled by 3D scene graphs to execute complex instructio…

cs.RO2024★ 1 cited

Task and Motion Planning in Hierarchical 3D Scene Graphs

Aaron Ray, Christopher Bradley, Luca Carlone +1

Recent work in the construction of 3D scene graphs has enabled mobile robots to build large-scale metric-semantic hierarchical representations of the world. These detailed models c…

cs.RO2021

Learning and Planning for Temporally Extended Tasks in Unknown Environments

Christopher Bradley, Adam Pacheck, Gregory J. Stein +3

We propose a novel planning technique for satisfying tasks specified in temporal logic in partially revealed environments. We define high-level actions derived from the environment…

cs.RO2020

Enabling Topological Planning with Monocular Vision

Gregory J. Stein, Christopher Bradley, Victoria Preston +1

Topological strategies for navigation meaningfully reduce the space of possible actions available to a robot, allowing use of heuristic priors or learning to enable computationally…