·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Splice CEO Kakul Srivastava thinks AI emails are killing conversations1h◆An OpenAI safety employee has quit and is sounding the alarm2h◆All the AI agents that can live in your text messages2h◆Sequential Capacity of Quantum Processes with Finite Memory12h◆Q-MINO: A Minimal-Norm Method for Quantization-Aware Training12h◆The Price of Correlated Tests: How Strict Should a Model Release Gate Be?12h◆Open Vocabulary Word Recognition From Transcribed Bangla Texts12h◆Geometry-Dependent Bounds for Online Non-Monotone DR-Submodular Maximization12h◆Scaling Collider Event Generation with Residual-Quantized Tokens12h◆TANGO: Treating Tokens as Operators12h◆Oblivious Learning and Collusive Pricing12h◆In-context Learning of Single-index Targets: Comparing Kernel and Feature Learners12h◆CF-JEPA: Improving Robustness of JEPA World Models via Controllability Factorization12h◆On Reliability of Membership Inference Vulnerability Evaluation12h◆EyeTAG: Eye Trajectory-Aware Gaze Estimation12h◆Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation12h◆AnyJev Technical Report12h◆Clifford Sheaf Neural Networks12h◆Classical Hardness of Learning Functions of Hamiltonians12h◆Degree-Corrected Joint Matrix Factorization for Multilayer Community Detection12h◆Splice CEO Kakul Srivastava thinks AI emails are killing conversations1h◆An OpenAI safety employee has quit and is sounding the alarm2h◆All the AI agents that can live in your text messages2h◆Sequential Capacity of Quantum Processes with Finite Memory12h◆Q-MINO: A Minimal-Norm Method for Quantization-Aware Training12h◆The Price of Correlated Tests: How Strict Should a Model Release Gate Be?12h◆Open Vocabulary Word Recognition From Transcribed Bangla Texts12h◆Geometry-Dependent Bounds for Online Non-Monotone DR-Submodular Maximization12h◆Scaling Collider Event Generation with Residual-Quantized Tokens12h◆TANGO: Treating Tokens as Operators12h◆Oblivious Learning and Collusive Pricing12h◆In-context Learning of Single-index Targets: Comparing Kernel and Feature Learners12h◆CF-JEPA: Improving Robustness of JEPA World Models via Controllability Factorization12h◆On Reliability of Membership Inference Vulnerability Evaluation12h◆EyeTAG: Eye Trajectory-Aware Gaze Estimation12h◆Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation12h◆AnyJev Technical Report12h◆Clifford Sheaf Neural Networks12h◆Classical Hardness of Learning Functions of Hamiltonians12h◆Degree-Corrected Joint Matrix Factorization for Multilayer Community Detection12h◆
News/Continual Learning for 6-DoF Grasp Synthesis via Experience and Demonstrations
arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral

Continual Learning for 6-DoF Grasp Synthesis via Experience and Demonstrations

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2610.01301v1 Announce Type: cross Abstract: Most current grasp synthesis systems are trained offline and remain fixed during deployment. While this works well when deployment conditions resemble the training data, performance can degrade when robots encounter conditions they have not seen befo

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivSequential Capacity of Quantum Processes with Finite Memory12harxivQ-MINO: A Minimal-Norm Method for Quantization-Aware Training12harxivThe Price of Correlated Tests: How Strict Should a Model Release Gate Be?12harxivOpen Vocabulary Word Recognition From Transcribed Bangla Texts12h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
Built by Marouane Gazouzi
HomeModelsNews