Sammy Joe Christen

Orcid: 0000-0002-3511-8565

According to our database1, Sammy Joe Christen authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
GraspXL: Generating Grasping Motions for Diverse Objects at Scale.
CoRR, 2024

2023
SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers.
CoRR, 2023

Physically Plausible Full-Body Hand-Object Interaction Synthesis.
CoRR, 2023

ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation.
CoRR, 2023

Learning Human-to-Robot Handovers from Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning.
Trans. Mach. Learn. Res., 2022

MARLUI: Multi-Agent Reinforcement Learning for Goal-Agnostic Adaptive UIs.
CoRR, 2022

TempoRL: Temporal Priors for Exploration in Off-Policy Reinforcement Learning.
CoRR, 2022

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning.
Proceedings of the International Conference on 3D Vision, 2022

2021
Improved Learning of Robot Manipulation Tasks Via Tactile Intrinsic Motivation.
IEEE Robotics Autom. Lett., 2021

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks With Path Planning.
IEEE Robotics Autom. Lett., 2021

The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020
Learning to Assemble: Estimating 6D Poses for Robotic Object-Object Manipulation.
IEEE Robotics Autom. Lett., 2020

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks.
CoRR, 2020

2019
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction.
Proceedings of the International Conference on Robotics and Automation, 2019


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