Scholar
Ben Eisner
Google Scholar ID: RWe-v0UAAAAJ
ML/Robotics Researcher, PhD Student at Carnegie Mellon
Citations & Impact
Citations
704
H-index
9
i10-index
9
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Planning from Point Clouds over Continuous Actions for Multi-object Rearrangement, CoRL 2025 (Oral)
- Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online, CoRL 2025
- Non-rigid Relative Placement through 3D Dense Diffusion, CoRL 2024
- FlowbotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation, CoRL 2024
- Sequential Object-Centric Relative Placement Prediction for Long-horizon Imitation Learning, LEAP @ CoRL 2024
- Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks, ICLR 2024
- FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection, CoRL 2023
- On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation Tasks, LMMBG @ IROS 2023
- TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation, CoRL 2022
- FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects, RSS 2022, Best Paper Finalist
- Deep Sequenced Linear Dynamical Systems for Manipulation Policy Learning, ICLR 2022 Workshop
- Self-supervised Transparent Liquid Segmentation for Robotic Pouring, ICRA 2022
- Robotic Grasping through Combined Image-Based Grasp Proposal and 3D Reconstruction, ICRA 2021
- Reward Prediction Error as an Exploration Objective in Deep RL, IJCAI 2020
- Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner, IROS 2019
- Q-Learning for Continuous Actions with Cross-Entropy Guided Policies, ICML 2019 Workshop
- Deep Learning Methods for 3D Segmentation of Neural Tissue in EM Images, Princeton University Senior Thesis
- emoji2vec: Learning emoji representations from their description, Best Paper at EMNLP 2016 SocialNLP
Research Experience
- Involved in multiple research projects related to robotic manipulation, including 3D geometric reasoning, history-aware verifier, non-rigid relative placement, etc.
Education
- Ph.D. - Robotics Institute, Carnegie Mellon University, Advisor: Prof. David Held
Background
- A 5th-Year Ph.D. student in the Robotics Institute at Carnegie Mellon University, working with Prof. David Held. Research focuses on 3D geometric reasoning for robotic manipulation. His research is partially supported by the NSF Graduate Research Fellowship.
Miscellany
- Personal interests and hobbies not provided
