Title string | Abstract string | Status string | User string | text string | label int64 | combined_text string | __index_level_0__ int64 |
|---|---|---|---|---|---|---|---|
Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving | End-to-end autonomous driving has achieved remarkable advancements in recent
years. Existing methods primarily follow a perception-planning paradigm, where
perception and planning are executed sequentially within a fully differentiable
framework for planning-oriented optimization. We further advance this paradigm
throu... | Liked | zrz@andrew.cmu.edu | Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving : End-to-end autonomous driving has achieved remarkable advancements in recent
years. Existing methods primarily follow a perception-planning paradigm, where
perception and planning are executed sequentially within a fully differentia... | 1 | zrz@andrew.cmu.edu [SEP] Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving : End-to-end autonomous driving has achieved remarkable advancements in recent
years. Existing methods primarily follow a perception-planning paradigm, where
perception and planning are executed sequentially w... | 271 |
ETA-IK: Execution-Time-Aware Inverse Kinematics for Dual-Arm Systems | This paper presents ETA-IK, a novel Execution-Time-Aware Inverse Kinematics
method tailored for dual-arm robotic systems. The primary goal is to optimize
motion execution time by leveraging the redundancy of both arms, specifically
in tasks where only the relative pose of the robots is constrained, such as
dual-arm sca... | Liked | jechoi@andrew.cmu.edu | ETA-IK: Execution-Time-Aware Inverse Kinematics for Dual-Arm Systems : This paper presents ETA-IK, a novel Execution-Time-Aware Inverse Kinematics
method tailored for dual-arm robotic systems. The primary goal is to optimize
motion execution time by leveraging the redundancy of both arms, specifically
in tasks where on... | 1 | jechoi@andrew.cmu.edu [SEP] ETA-IK: Execution-Time-Aware Inverse Kinematics for Dual-Arm Systems : This paper presents ETA-IK, a novel Execution-Time-Aware Inverse Kinematics
method tailored for dual-arm robotic systems. The primary goal is to optimize
motion execution time by leveraging the redundancy of both arms, sp... | 539 |
Transformer-based deep imitation learning for dual-arm robot manipulation | Deep imitation learning is promising for solving dexterous manipulation tasks
because it does not require an environment model and pre-programmed robot
behavior. However, its application to dual-arm manipulation tasks remains
challenging. In a dual-arm manipulation setup, the increased number of state
dimensions caused... | Liked | jechoi@andrew.cmu.edu | Transformer-based deep imitation learning for dual-arm robot manipulation : Deep imitation learning is promising for solving dexterous manipulation tasks
because it does not require an environment model and pre-programmed robot
behavior. However, its application to dual-arm manipulation tasks remains
challenging. In a ... | 1 | jechoi@andrew.cmu.edu [SEP] Transformer-based deep imitation learning for dual-arm robot manipulation : Deep imitation learning is promising for solving dexterous manipulation tasks
because it does not require an environment model and pre-programmed robot
behavior. However, its application to dual-arm manipulation task... | 464 |
Validation of a Control Algorithm for Human-like Reaching Motion using 7-DOF Arm and 19-DOF Hand-Arm Systems | This technical report gives an overview of our work on control algorithms
dealing with redundant robot systems for achieving human-like motion
characteristics. Previously, we developed a novel control law to exhibit
human-motion characteristics in redundant robot arm systems as well as
arm-trunk systems for reaching ta... | Disliked | jechoi@andrew.cmu.edu | Validation of a Control Algorithm for Human-like Reaching Motion using 7-DOF Arm and 19-DOF Hand-Arm Systems : This technical report gives an overview of our work on control algorithms
dealing with redundant robot systems for achieving human-like motion
characteristics. Previously, we developed a novel control law to e... | 0 | jechoi@andrew.cmu.edu [SEP] Validation of a Control Algorithm for Human-like Reaching Motion using 7-DOF Arm and 19-DOF Hand-Arm Systems : This technical report gives an overview of our work on control algorithms
dealing with redundant robot systems for achieving human-like motion
characteristics. Previously, we develo... | 481 |
Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data | The prediction of epileptic seizure has always been extremely challenging in
medical domain. However, as the development of computer technology, the
application of machine learning introduced new ideas for seizure forecasting.
Applying machine learning model onto the predication of epileptic seizure could
help us obtai... | Liked | zrz@andrew.cmu.edu | Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data : The prediction of epileptic seizure has always been extremely challenging in
medical domain. However, as the development of computer technology, the
application of machine learning introduced new ideas for seiz... | 1 | zrz@andrew.cmu.edu [SEP] Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data : The prediction of epileptic seizure has always been extremely challenging in
medical domain. However, as the development of computer technology, the
application of machine learning intr... | 102 |
Learning Multi-Arm Manipulation Through Collaborative Teleoperation | Imitation Learning (IL) is a powerful paradigm to teach robots to perform
manipulation tasks by allowing them to learn from human demonstrations
collected via teleoperation, but has mostly been limited to single-arm
manipulation. However, many real-world tasks require multiple arms, such as
lifting a heavy object or as... | Disliked | jechoi@andrew.cmu.edu | Learning Multi-Arm Manipulation Through Collaborative Teleoperation : Imitation Learning (IL) is a powerful paradigm to teach robots to perform
manipulation tasks by allowing them to learn from human demonstrations
collected via teleoperation, but has mostly been limited to single-arm
manipulation. However, many real-w... | 0 | jechoi@andrew.cmu.edu [SEP] Learning Multi-Arm Manipulation Through Collaborative Teleoperation : Imitation Learning (IL) is a powerful paradigm to teach robots to perform
manipulation tasks by allowing them to learn from human demonstrations
collected via teleoperation, but has mostly been limited to single-arm
manipu... | 22 |
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions | Graph machine learning has been extensively studied in both academic and
industry. However, as the literature on graph learning booms with a vast number
of emerging methods and techniques, it becomes increasingly difficult to
manually design the optimal machine learning algorithm for different
graph-related tasks. To t... | Liked | zrz@andrew.cmu.edu | Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions : Graph machine learning has been extensively studied in both academic and
industry. However, as the literature on graph learning booms with a vast number
of emerging methods and techniques, it becomes increasingly difficult to
manually ... | 1 | zrz@andrew.cmu.edu [SEP] Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions : Graph machine learning has been extensively studied in both academic and
industry. However, as the literature on graph learning booms with a vast number
of emerging methods and techniques, it becomes increasing... | 139 |
Automatic Design of Task-specific Robotic Arms | We present an interactive, computational design system for creating custom
robotic arms given high-level task descriptions and environmental constraints.
Various task requirements can be encoded as desired motion trajectories for the
robot arm's end-effector. Given such end-effector trajectories, our system
enables on-... | Liked | jechoi@andrew.cmu.edu | Automatic Design of Task-specific Robotic Arms : We present an interactive, computational design system for creating custom
robotic arms given high-level task descriptions and environmental constraints.
Various task requirements can be encoded as desired motion trajectories for the
robot arm's end-effector. Given such ... | 1 | jechoi@andrew.cmu.edu [SEP] Automatic Design of Task-specific Robotic Arms : We present an interactive, computational design system for creating custom
robotic arms given high-level task descriptions and environmental constraints.
Various task requirements can be encoded as desired motion trajectories for the
robot arm... | 7 |
Spatial Transfer Learning with Simple MLP | First step to investigate the potential of transfer learning applied to the
field of spatial statistics | Disliked | zrz@andrew.cmu.edu | Spatial Transfer Learning with Simple MLP : First step to investigate the potential of transfer learning applied to the
field of spatial statistics | 0 | zrz@andrew.cmu.edu [SEP] Spatial Transfer Learning with Simple MLP : First step to investigate the potential of transfer learning applied to the
field of spatial statistics | 57 |
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers | In this paper, we propose a new data poisoning attack and apply it to deep
reinforcement learning agents. Our attack centers on what we call
in-distribution triggers, which are triggers native to the data distributions
the model will be trained on and deployed in. We outline a simple procedure for
embedding these, and ... | Liked | zrz@andrew.cmu.edu | Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers : In this paper, we propose a new data poisoning attack and apply it to deep
reinforcement learning agents. Our attack centers on what we call
in-distribution triggers, which are triggers native to the data distributions
the model will be traine... | 1 | zrz@andrew.cmu.edu [SEP] Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers : In this paper, we propose a new data poisoning attack and apply it to deep
reinforcement learning agents. Our attack centers on what we call
in-distribution triggers, which are triggers native to the data distributions... | 258 |
The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving | Traffic light perception is an essential component of the camera-based
perception system for autonomous vehicles, enabling accurate detection and
interpretation of traffic lights to ensure safe navigation through complex
urban environments. In this work, we propose a modularized perception framework
that integrates sta... | Disliked | zrz@andrew.cmu.edu | The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving : Traffic light perception is an essential component of the camera-based
perception system for autonomous vehicles, enabling accurate detection and
interpretation of traffic lights to ensure safe navigation through complex
urban environ... | 0 | zrz@andrew.cmu.edu [SEP] The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving : Traffic light perception is an essential component of the camera-based
perception system for autonomous vehicles, enabling accurate detection and
interpretation of traffic lights to ensure safe navigation thro... | 327 |
Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot | Nowadays, a community starts to find the need for human presence in an
alternative way, there has been tremendous research and development in
advancing telepresence robots. People tend to feel closer and more comfortable
with telepresence robots as many senses a human presence in robots. In general,
many people feel th... | Liked | jechoi@andrew.cmu.edu | Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot : Nowadays, a community starts to find the need for human presence in an
alternative way, there has been tremendous research and development in
advancing telepresence robots. People tend to feel closer and more comfortable... | 1 | jechoi@andrew.cmu.edu [SEP] Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot : Nowadays, a community starts to find the need for human presence in an
alternative way, there has been tremendous research and development in
advancing telepresence robots. People tend to feel... | 459 |
Development of a Feeding Assistive Robot Using a Six Degree of Freedom Robotic Arm | This project introduces a Feeding Assistive Robot tailored to individuals
with physical disabilities, including those with limited arm function or hand
control. The core component is a precise 6-degree freedom robotic arm, operated
seamlessly through voice commands. Integration of an Arduino-based Braccio Arm,
a distan... | Liked | jechoi@andrew.cmu.edu | Development of a Feeding Assistive Robot Using a Six Degree of Freedom Robotic Arm : This project introduces a Feeding Assistive Robot tailored to individuals
with physical disabilities, including those with limited arm function or hand
control. The core component is a precise 6-degree freedom robotic arm, operated
sea... | 1 | jechoi@andrew.cmu.edu [SEP] Development of a Feeding Assistive Robot Using a Six Degree of Freedom Robotic Arm : This project introduces a Feeding Assistive Robot tailored to individuals
with physical disabilities, including those with limited arm function or hand
control. The core component is a precise 6-degree freed... | 411 |
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