8 citations · 20 across the 19 of their papers we have counts for
21 papers
ContactKernels: Adaptive Proposals using Geometry-COnditioned Wrenches for Contact-Rich Manipulation
Aditya Kamireddypalli, Matías Mattamala, João Moura +3
Contact-rich insertion requires precise geometric alignment despite uncertainty in perception, geometry, and con- trol. When this uncertainty causes unintended contact, the re- sul…
BayesContact: Uncertain Pose Estimation via Visuo-Tactile Proposals and Simulation-based Inference
Aditya Kamireddypalli, Matias Mattamala, Joao Moura +3
Contact-rich manipulation requires pose estimates that are often more accurate than what depth-only sensing provides. Existing methods, relying on vision and contact, employ costly…
Optimal Transport Q-Learning for Flow Policy Steering and Acceleration
Andreas Sochopoulos, Esmeralda S. Whitammer, Nikolaos Tsagkas +3
Diffusion and flow policies have recently demonstrated remarkable performance in robotic applications by accurately capturing multimodal robot trajectory distributions, especially…
Online Estimation and Manipulation of Articulated Objects
Russell Buchanan, Adrian Röfer, João Moura +2
From refrigerators to kitchen drawers, humans interact with articulated objects effortlessly every day while completing household chores. For automating these tasks, service robots…
Poke and Strike: Learning Task-Informed Exploration Policies
Marina Y. Aoyama, Joao Moura, Juan Del Aguila Ferrandis +1
In many dynamic robotic tasks, such as striking pucks into a goal outside the reachable workspace, the robot must first identify the relevant physical properties of the object for…
Scaling Whole-body Multi-contact Manipulation with Contact Optimization
Victor Levé, João Moura, Sachiya Fujita +3
Daily tasks require us to use our whole body to manipulate objects, for instance when our hands are unavailable. We consider the issue of providing humanoid robots with the ability…
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
Andreas Sochopoulos, Nikolay Malkin, Nikolaos Tsagkas +3
Diffusion and flow matching policies have recently demonstrated remarkable performance in robotic applications by accurately capturing multimodal robot trajectory distributions. Ho…
ContactFusion: Stochastic Poisson Surface Maps from Visual and Contact Sensing
Aditya Kamireddypalli, Joao Moura, Russell Buchanan +3
Robust and precise robotic assembly entails insertion of constituent components. Insertion success is hindered when noise in scene understanding exceeds tolerance limits, especiall…
Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
Juan Del Aguila Ferrandis, João Moura, Sethu Vijayakumar
Manipulation without grasping, known as non-prehensile manipulation, is essential for dexterous robots in contact-rich environments, but presents many challenges relating with unde…
An Efficient Representation of Whole-body Model Predictive Control for Online Compliant Dual-arm Mobile Manipulation
Wenqian Du, Ran Long, João Moura +3
Dual-arm mobile manipulators can transport and manipulate large-size objects with simple end-effectors. To interact with dynamic environments with strict safety and compliance requ…
Explicit Contact Optimization in Whole-Body Contact-Rich Manipulation
Victor Leve, João Moura, Namiko Saito +2
Humans can exploit contacts anywhere on their body surface to manipulate large and heavy items, objects normally out of reach or multiple objects at once. However, such manipulatio…
Impact-Aware Bimanual Catching of Large-Momentum Objects
Lei Yan, Theodoros Stouraitis, João Moura +3
This paper investigates one of the most challenging tasks in dynamic manipulation -- catching large-momentum moving objects. Beyond the realm of quasi-static manipulation, dealing…
Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-modal Transfer Learning
Namiko Saito, Joao Moura, Hiroki Uchida +1
Recognising the characteristics of objects while a robot handles them is crucial for adjusting motions that ensure stable and efficient interactions with containers. Ahead of reali…
Learning Goal-Directed Object Pushing in Cluttered Scenes With Location-Based Attention
Nils Dengler, Juan Del Aguila Ferrandis, João Moura +2
In complex scenarios where typical pick-and-place techniques are insufficient, often non-prehensile manipulation can ensure that a robot is able to fulfill its task. However, non-p…
Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing
Russell Buchanan, Adrian Röfer, João Moura +2
From dishwashers to cabinets, humans interact with articulated objects every day, and for a robot to assist in common manipulation tasks, it must learn a representation of articula…
Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation
Marina Y. Aoyama, João Moura, Namiko Saito +1
In many contact-rich tasks, force sensing plays an essential role in adapting the motion to the physical properties of the manipulated object. To enable robots to capture the under…
Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration
Juan Del Aguila Ferrandis, João Moura, Sethu Vijayakumar
Developing robot controllers capable of achieving dexterous nonprehensile manipulation, such as pushing an object on a table, is challenging. The underactuated and hybrid-dynamics…
OpTaS: An Optimization-based Task Specification Library for Trajectory Optimization and Model Predictive Control
Christopher E. Mower, João Moura, Nazanin Zamani Behabadi +3
This paper presents OpTaS, a task specification Python library for Trajectory Optimization (TO) and Model Predictive Control (MPC) in robotics. Both TO and MPC are increasingly rec…
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
Christopher E. Mower, Theodoros Stouraitis, João Moura +7
Reliable contact simulation plays a key role in the development of (semi-)autonomous robots, especially when dealing with contact-rich manipulation scenarios, an active robotics re…
Non-prehensile Planar Manipulation via Trajectory Optimization with Complementarity Constraints
João Moura, Theodoros Stouraitis, Sethu Vijayakumar
Contact adaption is an essential capability when manipulating objects. Two key contact modes of non-prehensile manipulation are sticking and sliding. This paper presents a Trajecto…
Multi-mode Trajectory Optimization for Impact-aware Manipulation
Theodoros Stouraitis, Lei Yan, João Moura +2
The transition from free motion to contact is a challenging problem in robotics, in part due to its hybrid nature. Additionally, disregarding the effects of impacts at the motion p…