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Found 12 papers, 2 papers with code
Mechanical problem solving in Goffin's cockatoos -- Towards modeling complex behavior
However, the proximate mechanisms underlying this adaptive behavior are largely unknown.
Intelligence as Computation
This paper proposes a specific conceptualization of intelligence as computation.
Augmentation for Learning From Demonstration with Environmental Constraints
We introduce a Learning from Demonstration (LfD) approach for contact-rich manipulation tasks with articulated mechanisms.
One Object at a Time: Accurate and Robust Structure From Motion for Robots
A gaze-fixating robot perceives distance to the fixated object and relative positions of surrounding objects immediately, accurately, and robustly.
"The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior Selection
Robotic manipulation behavior should be robust to disturbances that violate high-level task-structure.
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Machine learning has long since become a keystone technology, accelerating science and applications in a broad range of domains.
The RBO Dataset of Articulated Objects and Interactions
Each interaction with an object is annotated with the ground truth poses of its rigid parts and the kinematic state obtained by a motion capture system.
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
We present differentiable particle filters (DPFs): a differentiable implementation of the particle filter algorithm with learnable motion and measurement models.
The Limits and Potentials of Deep Learning for Robotics
In this paper we discuss a number of robotics-specific learning, reasoning, and embodiment challenges for deep learning.
Robotics
Interactive Perception: Leveraging Action in Perception and Perception in Action
Recent approaches in robotics follow the insight that perception is facilitated by interaction with the environment.
Robotics
Analysis and Observations from the First Amazon Picking Challenge
This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams.
Robotics
Patterns for Learning with Side Information
Supervised, semi-supervised, and unsupervised learning estimate a function given input/output samples.
