research
∙
02/22/2022
ReorientBot: Learning Object Reorientation for Specific-Posed Placement
Robots need the capability of placing objects in arbitrary, specific pos...
share
research
∙
02/11/2022
SafePicking: Learning Safe Object Extraction via Object-Level Mapping
Robots need object-level scene understanding to manipulate objects while...
research
∙
06/23/2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Reflecting on the last few years, the biggest breakthroughs in deep rein...
research
∙
02/26/2021
Morning commute in congested urban rail transit system: A macroscopic model for equilibrium distribution of passenger arrivals
This paper proposes a macroscopic model to describe the equilibrium dist...
research
∙
02/03/2021
Dynamic traffic assignment in a corridor network: Optimum versus Equilibrium
This study investigates dynamic system-optimal (DSO) and dynamic user eq...
research
∙
01/01/2021
Dynamic system optimal traffic assignment with atomic users: Convergence and stability
In this study, we analyse the convergence and stability of dynamic syste...
research
∙
09/23/2020
A new look at departure time choice equilibrium models with heterogeneous users
This paper presents a systematic approach for analyzing the departure-ti...
research
∙
04/09/2020
Neural Object Descriptors for Multi-View Shape Reconstruction
The choice of scene representation is crucial in both the shape inferenc...
research
∙
04/09/2020
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
Robots and other smart devices need efficient object-based scene represe...
research
∙
01/21/2020
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter
We present joint learning of instance and semantic segmentation for visi...
research
∙
01/21/2020
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects
We present a robotic system for picking a target from a pile of objects ...
research
∙
01/16/2020
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation
Probabilistic 3D map has been applied to object segmentation with multip...
research
∙
01/15/2020
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
Picking objects in a narrow space such as shelf bins is an important tas...
research
∙
08/07/2017
