Media Summary: Vivian Chu, Reymundo A. Gutierrez, Sonia Chernova, Andrea L. Thomaz. " In this work, we propose a human-in-the-loop learning- We present a novel solution that incorporates embodied

Real Time Multisensory Affordance Based Control For Adaptive Object Manipulation - Detailed Analysis & Overview

Vivian Chu, Reymundo A. Gutierrez, Sonia Chernova, Andrea L. Thomaz. " In this work, we propose a human-in-the-loop learning- We present a novel solution that incorporates embodied Christoph Pohl*, Kevin Hitzler*, Raphael Grimm, Antonio Zea, Uwe D. Hanebeck and Tamim Asfour Institute for Anthropomatics ... The Toyota Research Institute (TRI) is taking on the hard problems in October 14, 2022 Jiajun Wu of Stanford University In the past two years, neural representations for

Learning compliant grasping and manipulation by teleoperation with adaptive force control In this video, Sebastian MĂNASE, first year PhD student, presents an innovative robotics project focused on autonomous maze ... This talk discusses projects at the Jericho Smart Sensing Laboratory that utilises physical layer sensor technology, particularly ... Tae Myung Huh of UC Santa Cruz October 28, 2022 Despite some successful demonstrations, bringing robots into our everyday ... [NeurIPS 2023] Learning Environment-Aware

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Real-time Multisensory Affordance-based Control  for Adaptive Object Manipulation
Multi-fingered Robot Hand Compliant Manipulation based on Teleoperation and Adaptive Force Control
Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Learning thin deformable object manipulation with a multi-sensory integrated soft hand
Affordance-Based and User-Defined Gestures for Spatial Tangible Interaction
Affordance-Based Grasping and Manipulation in Real World Applications
A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models
Multi-fingered Robot Hand Compliant Manipulation
Introducing TRI Manipulation for Human-Assist Robots
Stanford Seminar - Multi-Sensory Neural Objects: Modeling, Inference, and Applications in Robotics
Learning compliant grasping and manipulation by teleoperation with adaptive force control
AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis
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Real-time Multisensory Affordance-based Control  for Adaptive Object Manipulation

Real-time Multisensory Affordance-based Control for Adaptive Object Manipulation

Vivian Chu, Reymundo A. Gutierrez, Sonia Chernova, Andrea L. Thomaz. "

Multi-fingered Robot Hand Compliant Manipulation based on Teleoperation and Adaptive Force Control

Multi-fingered Robot Hand Compliant Manipulation based on Teleoperation and Adaptive Force Control

In this work, we propose a human-in-the-loop learning-

Sponsored
Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Real

Learning thin deformable object manipulation with a multi-sensory integrated soft hand

Learning thin deformable object manipulation with a multi-sensory integrated soft hand

We present a novel solution that incorporates embodied

Affordance-Based and User-Defined Gestures for Spatial Tangible Interaction

Affordance-Based and User-Defined Gestures for Spatial Tangible Interaction

Affordance

Sponsored
Affordance-Based Grasping and Manipulation in Real World Applications

Affordance-Based Grasping and Manipulation in Real World Applications

Christoph Pohl*, Kevin Hitzler*, Raphael Grimm, Antonio Zea, Uwe D. Hanebeck and Tamim Asfour Institute for Anthropomatics ...

A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models

A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models

Previous studies on robotic

Multi-fingered Robot Hand Compliant Manipulation

Multi-fingered Robot Hand Compliant Manipulation

Multi-fingered Robot Hand Compliant

Introducing TRI Manipulation for Human-Assist Robots

Introducing TRI Manipulation for Human-Assist Robots

The Toyota Research Institute (TRI) is taking on the hard problems in

Stanford Seminar - Multi-Sensory Neural Objects: Modeling, Inference, and Applications in Robotics

Stanford Seminar - Multi-Sensory Neural Objects: Modeling, Inference, and Applications in Robotics

October 14, 2022 Jiajun Wu of Stanford University In the past two years, neural representations for

Learning compliant grasping and manipulation by teleoperation with adaptive force control

Learning compliant grasping and manipulation by teleoperation with adaptive force control

Learning compliant grasping and manipulation by teleoperation with adaptive force control

AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis

AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis

language guided grasp generation.

Autonomous Maze Solver Robot: Intelligent Navigation Through Vision and Control

Autonomous Maze Solver Robot: Intelligent Navigation Through Vision and Control

In this video, Sebastian MĂNASE, first year PhD student, presents an innovative robotics project focused on autonomous maze ...

Multi sensor fusion for real time situational awareness - Benjamin Eggleton

Multi sensor fusion for real time situational awareness - Benjamin Eggleton

This talk discusses projects at the Jericho Smart Sensing Laboratory that utilises physical layer sensor technology, particularly ...

Stanford Seminar - Adaptable Robotic Manipulation Using Tactile Sensors

Stanford Seminar - Adaptable Robotic Manipulation Using Tactile Sensors

Tae Myung Huh of UC Santa Cruz October 28, 2022 Despite some successful demonstrations, bringing robots into our everyday ...

Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

[NeurIPS 2023] Learning Environment-Aware